From 1607673f6c3d8cd859b9f58e1ad44328f964d3c3 Mon Sep 17 00:00:00 2001
From: Alex-Wengg <hanweng9@gmail.com>
Date: Wed, 8 Jul 2026 03:14:51 -0400
Subject: [PATCH 1/5] feat(tts/luxtts): ZipVoice-Distill zero-shot
 voice-cloning backend (phase 1, macOS)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Adds the LuxTTS backend: TextEncoder -> 4-step anchor-Euler FmDecoder ->
fixed-shape Vocos vocoder (48 kHz), conditioned on a <=5 s prompt clip +
espeak-IPA transcript. Models from FluidInference/luxtts-coreml via
ModelHub (gpu/ graph, .cpuAndGPU on macOS — the graph corrupts audio on
the ANE; ane/ variant selection is structural, host wiring is phase 2).

Host-side math mirrors upstream ZipVoice exactly and is fixture-pinned
against the Python reference (mobius dump_swift_fixtures.py):
- EmiliaTokenizer table + per-scalar espeak-IPA token ids (exact)
- VocosFbank mel (24 kHz / n_fft 1024 / hop 256 / 100 mels, torchaudio
  periodic Hann + reflect pad + HTK fbanks, lhotse frame count): max_abs
  1.7e-4 vs fixture (< 1e-3 gate)
- solver timesteps (t_shift 0.5), ratio duration estimate, avg-duration
  expansion indices, anchor-Euler trajectory (exact)

CoreML prediction outputs are stride-padded along the row dimension
(100 -> 112 floats on GPU); outputs are compacted via strides before any
host math — reading them contiguously produced silence-converged mel.

E2E vs the Python CoreML pipeline (same prompt/phonemes/speed/seed
accounting): 220,672 samples @48 kHz exact match, RMS +0.75 dB (< 1 dB
gate), Parakeet ASR round-trip transcribes the test sentence verbatim.
RTFx ~17x (debug build, M5 Pro).

Phase 1 has no text->IPA frontend: synthesize(text:) throws
g2pUnavailable. The Kokoro/StyleTTS2 Misaki frontend was evaluated and
does not map onto tokens.txt (drops espeak length marks, uses ligatures
+ diphthong shorthands, different weak forms; 78 vs 85 tokens on the
fixture sentence), so phase 1 ships the pre-phonemized path only:
CLI --backend luxtts --prompt-audio --prompt-text with --phonemes.

Speed default is 1.0 — upstream's hidden 1.3x squeeze clips sentence
onsets. Prompts quieter than RMS 0.1 are boosted for conditioning and
the output is scaled back (rms_norm contract); the CLI writes the WAV
un-normalized to preserve prompt-matched loudness.
---
 .gitignore                                    |    5 +
 Documentation/TTS/LuxTts.md                   |  122 +
 Package.swift                                 |    3 +
 Sources/FluidAudio/ModelNames.swift           |   59 +
 .../TTS/LuxTts/LuxTtsConstants.swift          |   57 +
 .../FluidAudio/TTS/LuxTts/LuxTtsError.swift   |   41 +
 .../FluidAudio/TTS/LuxTts/LuxTtsManager.swift |  172 +
 .../TTS/LuxTts/LuxTtsMelExtractor.swift       |  160 +
 .../TTS/LuxTts/LuxTtsModelStore.swift         |  182 ++
 .../FluidAudio/TTS/LuxTts/LuxTtsSolver.swift  |   59 +
 .../TTS/LuxTts/LuxTtsSynthesizer.swift        |  348 +++
 .../TTS/LuxTts/LuxTtsTokenizer.swift          |   74 +
 Sources/FluidAudio/TTS/TtsBackend.swift       |    9 +
 .../FluidAudioCLI/Commands/TTSCommand.swift   |  157 +-
 .../TTS/LuxTts/LuxTtsE2ETests.swift           |   86 +
 .../TTS/LuxTts/LuxTtsFixtures.swift           |  145 +
 .../TTS/LuxTts/LuxTtsMelExtractorTests.swift  |   42 +
 .../TTS/LuxTts/LuxTtsSolverTests.swift        |   74 +
 .../TTS/LuxTts/LuxTtsTokenizerTests.swift     |   52 +
 .../TTS/LuxTts/Resources/luxtts_fixtures.json | 2767 +++++++++++++++++
 .../TTS/LuxTts/Resources/prompt_24k_f32le.bin |  Bin 0 -> 415744 bytes
 .../TTS/LuxTts/Resources/prompt_mel_f32le.bin |  Bin 0 -> 162400 bytes
 .../TTS/LuxTts/Resources/tokens.txt           |  360 +++
 23 files changed, 4973 insertions(+), 1 deletion(-)
 create mode 100644 Documentation/TTS/LuxTts.md
 create mode 100644 Sources/FluidAudio/TTS/LuxTts/LuxTtsConstants.swift
 create mode 100644 Sources/FluidAudio/TTS/LuxTts/LuxTtsError.swift
 create mode 100644 Sources/FluidAudio/TTS/LuxTts/LuxTtsManager.swift
 create mode 100644 Sources/FluidAudio/TTS/LuxTts/LuxTtsMelExtractor.swift
 create mode 100644 Sources/FluidAudio/TTS/LuxTts/LuxTtsModelStore.swift
 create mode 100644 Sources/FluidAudio/TTS/LuxTts/LuxTtsSolver.swift
 create mode 100644 Sources/FluidAudio/TTS/LuxTts/LuxTtsSynthesizer.swift
 create mode 100644 Sources/FluidAudio/TTS/LuxTts/LuxTtsTokenizer.swift
 create mode 100644 Tests/FluidAudioTests/TTS/LuxTts/LuxTtsE2ETests.swift
 create mode 100644 Tests/FluidAudioTests/TTS/LuxTts/LuxTtsFixtures.swift
 create mode 100644 Tests/FluidAudioTests/TTS/LuxTts/LuxTtsMelExtractorTests.swift
 create mode 100644 Tests/FluidAudioTests/TTS/LuxTts/LuxTtsSolverTests.swift
 create mode 100644 Tests/FluidAudioTests/TTS/LuxTts/LuxTtsTokenizerTests.swift
 create mode 100644 Tests/FluidAudioTests/TTS/LuxTts/Resources/luxtts_fixtures.json
 create mode 100644 Tests/FluidAudioTests/TTS/LuxTts/Resources/prompt_24k_f32le.bin
 create mode 100644 Tests/FluidAudioTests/TTS/LuxTts/Resources/prompt_mel_f32le.bin
 create mode 100644 Tests/FluidAudioTests/TTS/LuxTts/Resources/tokens.txt

diff --git a/.gitignore b/.gitignore
index 4b9c67aba..ac9ca3bc2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -102,6 +102,11 @@ FluidAudioDatasets/
 Resources/
 !Sources/FluidAudio/Resources/
 !Sources/FluidAudio/Resources/**
+# LuxTts parity fixtures (dump_swift_fixtures.py); the reference wav
+# stays untracked per the repo-wide *.wav rule (tests read JSON stats).
+!Tests/FluidAudioTests/TTS/LuxTts/Resources/
+!Tests/FluidAudioTests/TTS/LuxTts/Resources/**
+Tests/FluidAudioTests/TTS/LuxTts/Resources/*.wav
 scripts/
 !Scripts/parakeet_subset_benchmark.sh
 !Scripts/diarizer_subset_benchmark.sh
diff --git a/Documentation/TTS/LuxTts.md b/Documentation/TTS/LuxTts.md
new file mode 100644
index 000000000..66d1d57e3
--- /dev/null
+++ b/Documentation/TTS/LuxTts.md
@@ -0,0 +1,122 @@
+# LuxTTS (ZipVoice-Distill) Swift Inference
+
+Zero-shot voice-cloning TTS conditioned on a short prompt clip and its
+transcript. 48 kHz mono Float32 output, 3-stage CoreML pipeline
+(flow-matching, 4 anchor-Euler steps).
+
+## Overview
+
+LuxTTS is the CoreML port of ZipVoice-Distill (conversion lives in
+`mobius/models/tts/zipvoice`). Each utterance runs:
+
+```
+espeak-IPA phonemes → TextEncoder            → token_embeds [1, 256, 100]
+                      avg-duration expansion → per-frame text_condition
+prompt clip (24 kHz) → VocosFbank mel ×0.1   → speech_condition
+                      FmDecoder ×4 anchor-Euler steps (guidance 3.0)
+                      Vocos vocoder (fixed 282/555-frame bucket) → 48 kHz wav
+```
+
+Models: [FluidInference/luxtts-coreml](https://huggingface.co/FluidInference/luxtts-coreml)
+
+| Asset | Purpose |
+|---|---|
+| `gpu/TextEncoder.mlmodelc`, `gpu/FmDecoder.mlmodelc` | Original graph. macOS path, `.cpuAndGPU`. **Never run on the ANE** — the rel-pos attention path corrupts audio there. |
+| `ane/…` | ANE-canonical rewrite for iOS (`.cpuAndNeuralEngine`). Host wiring is phase 2; input names differ from `gpu/` (verify via `modelDescription`). |
+| `vocoder/Vocoder282.mlmodelc`, `vocoder/Vocoder555.mlmodelc` | Fixed-shape 48 kHz Vocos vocoders (`mel (1,100,S) → audio`). Smallest bucket ≥ generated frames is used; mel is never truncated. |
+| `tokens.txt`, `config.json` | EmiliaTokenizer phoneme→id table (espeak IPA per Unicode scalar + pinyin initials/finals). |
+
+All shapes are fixed: ≤ 255 tokens (+1 pad slot), ≤ 1024 mel frames
+total, ≤ 555 generated frames (~5.9 s per call; chunking is phase 2).
+
+## Quick Start
+
+### CLI
+
+```bash
+swift run fluidaudiocli tts \
+  "ðə kwˈɪk bɹˈaʊn fˈɑːks dʒˈʌmps ˌoʊvɚ ðə lˈeɪzi dˈɑːɡ, ænd ˈɑːnɪstli, ɪt fˈɛlt ɡɹˈeɪt." \
+  --phonemes \
+  --backend luxtts \
+  --prompt-audio prompt_clip.wav \
+  --prompt-text "kwˈɪk bɹˈaʊn fˈɑːks dʒˈʌmps ˌoʊvɚ ðə lˈeɪzi dˈɑːɡ ænd ˈɑːnɪstli ɪt fˈɛlt ɡɹˈeɪt." \
+  --seed 42 \
+  --output out.wav
+```
+
+`--prompt-audio` (voice to clone; first 5 s used) and `--prompt-text`
+(the prompt's transcript) are required. In phase 1 `--phonemes` is also
+required: both the positional text and `--prompt-text` must be espeak
+IPA (`en-us`) — see G2P status below.
+
+### Swift API
+
+```swift
+let manager = try await LuxTtsManager.downloadAndCreate()
+let result = try await manager.synthesize(
+    phonemes: "ðə kwˈɪk bɹˈaʊn fˈɑːks…",
+    promptAudio: promptURL,          // any format/rate; 24 kHz mono internally
+    promptPhonemes: "kwˈɪk bɹˈaʊn…",
+    speed: 1.0,
+    seed: 42)
+// result.samples: 48 kHz mono Float32, prompt-matched loudness
+```
+
+A token-ids overload (`synthesize(tokenIds:promptAudio:promptTokenIds:…)`)
+is available for callers running their own espeak frontend against
+`tokens.txt`.
+
+## Usage notes
+
+- **Keep `speed` at 1.0.** Upstream's `generate()` silently multiplies
+  speed by 1.3, which squeezes the ratio-based duration estimate and
+  clips sentence onsets. The Swift port never applies it.
+- **Trim prompt silence.** Generated length is estimated as
+  `prompt_frames / prompt_tokens × text_tokens / speed`; leading or
+  trailing silence in the prompt inflates frames-per-token and slows or
+  pads the output. Trim with `VadManager` (or any editor) before
+  passing the clip.
+- **Loudness contract**: prompts quieter than RMS 0.1 are boosted for
+  conditioning and the generated wav is scaled back to the prompt's
+  original level (upstream `rms_norm`). Don't peak-normalize the output.
+- **Determinism**: same phonemes + prompt + seed → same output on the
+  same OS/hardware. The noise RNG is not torch's, so waveforms differ
+  from the Python pipeline while duration/loudness match (fixture-gated:
+  frame accounting exact, RMS within 1 dB).
+
+## G2P status (phase 1)
+
+There is **no built-in text→phoneme frontend**: `synthesize(text:…)`
+throws `LuxTtsError.g2pUnavailable`. The model was trained on espeak
+(`en-us`) phonemes via EmiliaTokenizer. The in-repo Kokoro/StyleTTS2
+Misaki frontend was evaluated and does **not** map cleanly onto
+`tokens.txt`: Misaki drops espeak length marks (`ː`), emits ligatures
+(`ʤ`) and diphthong shorthands (`A O I Y W`) and different weak forms —
+on the fixture sentence it produces 78 tokens vs espeak's 85, shifting
+both pronunciation and the duration estimate. Feeding raw graphemes is
+out-of-distribution for the model and is not offered.
+
+Until phase 2, produce phonemes with espeak-ng / piper-phonemize
+(`en-us`); OOV scalars are skipped with a warning, matching upstream.
+
+## Tests
+
+```bash
+swift test --filter LuxTts                        # tokenizer/solver/mel parity (fixtures)
+FLUIDAUDIO_RUN_LUXTTS_E2E=1 swift test --filter LuxTtsE2ETests   # model-dependent e2e
+```
+
+Fixtures are generated by
+`mobius/models/tts/zipvoice/coreml/dump_swift_fixtures.py` and live in
+`Tests/FluidAudioTests/TTS/LuxTts/Resources/`.
+
+## Phase 2 TODOs
+
+- espeak-parity English G2P (text → IPA) so `synthesize(text:…)` works.
+- Long-input chunking across multiple vocoder windows (> 555 generated
+  frames currently errors; mel truncation is not allowed).
+- iOS `ane/` graph host wiring (input names differ from `gpu/`, may take
+  pre-concatenated `(1, 300, 1, 1024)` inputs) + device validation.
+- Prompt transcription via built-in ASR (drop the `--prompt-text`
+  requirement).
+- Optional VAD-based automatic prompt-silence trimming.
diff --git a/Package.swift b/Package.swift
index 62f1b26dc..e58511320 100644
--- a/Package.swift
+++ b/Package.swift
@@ -52,6 +52,9 @@ let package = Package(
             dependencies: [
                 "FluidAudio",
                 "FluidAudioCLI",
+            ],
+            resources: [
+                .copy("TTS/LuxTts/Resources")
             ]
         ),
     ],
diff --git a/Sources/FluidAudio/ModelNames.swift b/Sources/FluidAudio/ModelNames.swift
index 188b56fa6..2d4ff8dfe 100644
--- a/Sources/FluidAudio/ModelNames.swift
+++ b/Sources/FluidAudio/ModelNames.swift
@@ -65,6 +65,13 @@ public enum Repo: String, CaseIterable, Sendable {
     /// recipe. Ships four `.mlmodelc` bundles + `tts.json` +
     /// `unicode_indexer.json` at the repo root.
     case supertonic3 = "FluidInference/supertonic-3-coreml"
+    /// LuxTTS (ZipVoice-Distill) — 48 kHz zero-shot voice-cloning TTS.
+    /// Two decoder graphs per fixed shape bucket: `gpu/` (original graph,
+    /// macOS GPU path) and `ane/` (ANE-canonical rewrite, iOS path), plus
+    /// fixed-shape Vocos vocoders under `vocoder/` and the shared
+    /// `tokens.txt` / `config.json`. Conversion lives in mobius
+    /// (`models/tts/zipvoice`).
+    case luxtts = "FluidInference/luxtts-coreml"
 
     /// Repository slug (without owner)
     public var name: String {
@@ -133,6 +140,8 @@ public enum Repo: String, CaseIterable, Sendable {
             return "StyleTTS-2-coreml/iteration_3/compiled"
         case .supertonic3:
             return "supertonic-3-coreml"
+        case .luxtts:
+            return "luxtts-coreml"
         }
     }
 
@@ -1132,6 +1141,53 @@ public enum ModelNames {
         }
     }
 
+    /// LuxTTS (ZipVoice-Distill) model names. The HF repo publishes the same
+    /// text encoder + flow-matching decoder in two graph layouts:
+    ///   - `gpu/`  — original graph; fastest on Mac GPU (do NOT run on ANE:
+    ///     the seq-first rel-pos attention path corrupts audio there)
+    ///   - `ane/`  — ANE-canonical rewrite; 100% ANE placement (iOS path)
+    /// plus fixed-shape Vocos vocoders (282 / 555 generated frames) and the
+    /// shared `tokens.txt` / `config.json`. All decoder I/O is identical
+    /// across the two graphs.
+    public enum LuxTts {
+        public static let gpuVariant = "gpu"
+        public static let aneVariant = "ane"
+
+        /// Platform default graph variant: `gpu/` on macOS, `ane/` elsewhere.
+        public static var defaultVariant: String {
+            #if os(macOS)
+            return gpuVariant
+            #else
+            return aneVariant
+            #endif
+        }
+
+        public static let tokensFile = "tokens.txt"
+        public static let configFile = "config.json"
+        public static let vocoder282File = "vocoder/Vocoder282.mlmodelc"
+        public static let vocoder555File = "vocoder/Vocoder555.mlmodelc"
+
+        public static func textEncoderFile(variant: String) -> String {
+            "\(variant)/TextEncoder.mlmodelc"
+        }
+
+        public static func fmDecoderFile(variant: String) -> String {
+            "\(variant)/FmDecoder.mlmodelc"
+        }
+
+        public static func requiredFiles(variant: String?) -> Set<String> {
+            let v = variant ?? defaultVariant
+            return [
+                textEncoderFile(variant: v),
+                fmDecoderFile(variant: v),
+                vocoder282File,
+                vocoder555File,
+                tokensFile,
+                configFile,
+            ]
+        }
+    }
+
     /// Multilingual G2P (CharsiuG2P ByT5) model names
     public enum MultilingualG2P {
         public static let encoder = "MultilingualG2PEncoder"
@@ -1359,6 +1415,9 @@ public enum ModelNames {
             }
         case .supertonic3:
             return ModelNames.Supertonic3.requiredFiles(veVariant: variant)
+        case .luxtts:
+            // Variants: "gpu" (macOS) / "ane" (iOS); nil → platform default.
+            return ModelNames.LuxTts.requiredFiles(variant: variant)
         }
     }
 }
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsConstants.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsConstants.swift
new file mode 100644
index 000000000..6a7aa6664
--- /dev/null
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsConstants.swift
@@ -0,0 +1,57 @@
+import Foundation
+
+/// Compile-time constants for the LuxTTS (ZipVoice-Distill) backend.
+///
+/// Values mirror the upstream LuxTTS inference defaults and the fixed-shape
+/// buckets baked into the CoreML graphs at
+/// `FluidInference/luxtts-coreml` (see the repo README for the bucket table).
+public enum LuxTtsConstants {
+
+    /// Sample rate of the mel frontend / prompt conditioning (Hz).
+    public static let melSampleRate = 24000
+    /// Sample rate of the generated waveform (Hz) — the vocoder upsamples
+    /// 24 kHz mel frames to 48 kHz audio in-graph.
+    public static let outputSampleRate = 48000
+
+    // Mel frontend (upstream VocosFbank: torchaudio MelSpectrogram, power=1).
+    public static let nFFT = 1024
+    public static let hopLength = 256
+    public static let nMels = 100
+    /// Log floor: `mel.clamp(min: 1e-7).log()`.
+    public static let logMelFloor: Float = 1e-7
+    /// Features are scaled by 0.1 before conditioning (`feat_scale`).
+    public static let featScale: Float = 0.1
+
+    // Fixed CoreML shape buckets (gpu/ + ane/ graphs).
+    public static let maxTokens = 256
+    public static let maxFrames = 1024
+    public static let featDim = 100
+
+    // Flow-matching solver.
+    public static let numSteps = 4
+    public static let tShift = 0.5
+    public static let guidanceScale: Float = 3.0
+
+    /// Default speech-rate divisor. Upstream `generate()` silently multiplies
+    /// speed by 1.3, which squeezes the ratio-based duration estimate and
+    /// clips sentence onsets; 1.0 synthesizes complete sentences.
+    public static let defaultSpeed: Float = 1.0
+
+    /// Prompt RMS normalization target (upstream `rms_norm`). Prompts quieter
+    /// than this are boosted before mel extraction and the generated waveform
+    /// is scaled back down by the same factor.
+    public static let targetRms: Float = 0.1
+
+    /// Prompt duration cap in seconds. Frames beyond this would eat too much
+    /// of the 1024-frame bucket (~10.9 s total at 93.75 frames/s).
+    public static let maxPromptSeconds: Double = 5.0
+
+    /// Published fixed-shape vocoder buckets (generated frames).
+    public static let vocoderBuckets = [282, 555]
+    /// Vocoder hop at 48 kHz (256 at 24 kHz × 2). The vocoder emits
+    /// `(bucket - 1) * hop48k` samples.
+    public static let hop48k = 512
+
+    /// Default synthesis noise seed (matches the Python reference scripts).
+    public static let defaultSeed: UInt64 = 42
+}
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsError.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsError.swift
new file mode 100644
index 000000000..26d145d3c
--- /dev/null
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsError.swift
@@ -0,0 +1,41 @@
+import Foundation
+
+/// Errors surfaced by the LuxTTS backend.
+public enum LuxTtsError: Error, LocalizedError {
+    case notInitialized
+    case downloadFailed(String)
+    case modelFileNotFound(String)
+    case corruptedModel(String, underlying: String)
+    case tokenizerFailed(String)
+    case invalidPromptAudio(String)
+    case inputTooLong(String)
+    case inferenceFailed(stage: String, underlying: String)
+    /// Phase 1 ships no in-process text→espeak-IPA frontend; callers must
+    /// supply pre-phonemized input via `synthesize(phonemes:...)`.
+    case g2pUnavailable
+
+    public var errorDescription: String? {
+        switch self {
+        case .notInitialized:
+            return "LuxTTS is not initialized. Call initialize() first."
+        case .downloadFailed(let detail):
+            return "LuxTTS model download failed: \(detail)"
+        case .modelFileNotFound(let name):
+            return "LuxTTS model file not found: \(name)"
+        case .corruptedModel(let name, let underlying):
+            return "LuxTTS model \(name) failed to load: \(underlying)"
+        case .tokenizerFailed(let detail):
+            return "LuxTTS tokenizer failure: \(detail)"
+        case .invalidPromptAudio(let detail):
+            return "LuxTTS prompt audio invalid: \(detail)"
+        case .inputTooLong(let detail):
+            return "LuxTTS input exceeds the fixed CoreML shape bucket: \(detail)"
+        case .inferenceFailed(let stage, let underlying):
+            return "LuxTTS inference failed at \(stage): \(underlying)"
+        case .g2pUnavailable:
+            return
+                "LuxTTS has no built-in text→phoneme frontend yet; pass espeak-style "
+                + "IPA via synthesize(phonemes:promptPhonemes:...) (tokens.txt token set)."
+        }
+    }
+}
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsManager.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsManager.swift
new file mode 100644
index 000000000..ad91d6844
--- /dev/null
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsManager.swift
@@ -0,0 +1,172 @@
+@preconcurrency import CoreML
+import Foundation
+
+/// Top-level public API for LuxTTS (ZipVoice-Distill) zero-shot
+/// voice-cloning TTS — 48 kHz output conditioned on a short prompt clip.
+///
+/// Pipeline pieces:
+///   1. `LuxTtsModelStore`   — downloads + holds the CoreML stages
+///      (TextEncoder, FmDecoder, fixed-shape Vocos vocoders) and `tokens.txt`.
+///   2. `LuxTtsTokenizer`    — espeak-IPA phoneme string → token ids.
+///   3. `LuxTtsSynthesizer`  — flow-matching host loop (see its docs).
+///
+/// Phase 1 input contract: **pre-phonemized espeak IPA** (`en-us`, the token
+/// set in `tokens.txt`). There is no in-process text→IPA frontend yet:
+/// the model was trained on espeak phonemes, and the KokoroAne/StyleTTS2
+/// Misaki frontend output does not map onto them cleanly (Misaki drops
+/// espeak length marks `ː`, uses `ʤ`/`ʧ` ligatures and different weak
+/// forms — measured 78 vs 85 tokens on the same sentence), which would
+/// shift both pronunciation and the ratio-based duration estimate.
+/// `synthesize(text:...)` therefore throws `LuxTtsError.g2pUnavailable`
+/// until the phase-2 espeak-parity G2P lands.
+///
+/// Usage:
+/// ```swift
+/// let manager = try await LuxTtsManager.downloadAndCreate()
+/// let result = try await manager.synthesize(
+///     phonemes: "ðə kwˈɪk bɹˈaʊn fˈɑːks...",
+///     promptAudio: promptWavURL,
+///     promptPhonemes: "kwˈɪk bɹˈaʊn fˈɑːks...")
+/// // result.samples is 48 kHz mono Float32 PCM.
+/// ```
+public actor LuxTtsManager {
+
+    private let logger = AppLogger(category: "LuxTtsManager")
+
+    private let directory: URL?
+    private let variant: String
+    private let computeUnitsOverride: MLComputeUnits?
+
+    private var store: LuxTtsModelStore?
+    private var synthesizer: LuxTtsSynthesizer?
+
+    /// - Parameters:
+    ///   - directory: Model cache root override (default: shared TTS cache).
+    ///   - variant: Graph variant (`ModelNames.LuxTts.gpuVariant` /
+    ///     `.aneVariant`). Defaults to the platform-appropriate graph:
+    ///     `gpu/` + `.cpuAndGPU` on macOS, `ane/` + `.cpuAndNeuralEngine`
+    ///     elsewhere. The `gpu/` graph must never run on the ANE (rel-pos
+    ///     attention corrupts audio there).
+    ///   - computeUnitsOverride: Force specific compute units for every stage.
+    public init(
+        directory: URL? = nil,
+        variant: String = ModelNames.LuxTts.defaultVariant,
+        computeUnitsOverride: MLComputeUnits? = nil
+    ) {
+        self.directory = directory
+        self.variant = variant
+        self.computeUnitsOverride = computeUnitsOverride
+    }
+
+    public var isAvailable: Bool { synthesizer != nil }
+
+    /// Convenience factory: download assets and return a ready-to-use manager.
+    public static func downloadAndCreate(
+        cacheDirectory: URL? = nil,
+        variant: String = ModelNames.LuxTts.defaultVariant,
+        computeUnitsOverride: MLComputeUnits? = nil
+    ) async throws -> LuxTtsManager {
+        let manager = LuxTtsManager(
+            directory: cacheDirectory,
+            variant: variant,
+            computeUnitsOverride: computeUnitsOverride)
+        try await manager.initialize()
+        return manager
+    }
+
+    /// Download (if missing) and load the LuxTTS CoreML stages.
+    public func initialize(progressHandler: ProgressHandler? = nil) async throws {
+        if synthesizer != nil { return }
+
+        let store = LuxTtsModelStore(
+            directory: directory,
+            variant: variant,
+            computeUnitsOverride: computeUnitsOverride)
+        try await store.loadIfNeeded(progressHandler: progressHandler)
+
+        self.store = store
+        self.synthesizer = LuxTtsSynthesizer(store: store)
+        logger.info("LuxTTS ready (variant: \(variant))")
+    }
+
+    // MARK: - Synthesis
+
+    /// Synthesize from raw text. **Phase 1: always throws
+    /// `LuxTtsError.g2pUnavailable`** — see the type-level discussion.
+    /// Use `synthesize(phonemes:promptAudio:promptPhonemes:...)`.
+    public func synthesize(
+        text: String,
+        promptAudio: URL,
+        promptText: String,
+        speed: Float = LuxTtsConstants.defaultSpeed,
+        seed: UInt64 = LuxTtsConstants.defaultSeed
+    ) async throws -> LuxTtsSynthesisResult {
+        _ = (text, promptAudio, promptText, speed, seed)
+        throw LuxTtsError.g2pUnavailable
+    }
+
+    /// Synthesize from espeak-IPA phoneme strings (the `tokens.txt` set;
+    /// one token per Unicode scalar, OOV scalars skipped with a warning).
+    ///
+    /// - Parameters:
+    ///   - phonemes: espeak IPA for the text to speak.
+    ///   - promptAudio: Prompt clip (any format/rate; converted to 24 kHz
+    ///     mono, capped at `LuxTtsConstants.maxPromptSeconds`). Trim
+    ///     leading/trailing silence beforehand (e.g. with `VadManager`) —
+    ///     silence inflates the frames-per-token duration ratio.
+    ///   - promptPhonemes: espeak IPA of the prompt clip's transcript.
+    ///   - speed: Speech-rate divisor for the generated span. Keep 1.0
+    ///     (upstream's hidden 1.3 clips sentence onsets).
+    ///   - seed: Noise seed for the flow-matching init.
+    public func synthesize(
+        phonemes: String,
+        promptAudio: URL,
+        promptPhonemes: String,
+        speed: Float = LuxTtsConstants.defaultSpeed,
+        seed: UInt64 = LuxTtsConstants.defaultSeed
+    ) async throws -> LuxTtsSynthesisResult {
+        guard let store = store else { throw LuxTtsError.notInitialized }
+        let tokenizer = try await store.tokenizer()
+        return try await synthesize(
+            tokenIds: tokenizer.tokenIds(phonemes: phonemes),
+            promptAudio: promptAudio,
+            promptTokenIds: tokenizer.tokenIds(phonemes: promptPhonemes),
+            speed: speed,
+            seed: seed)
+    }
+
+    /// Synthesize from pre-computed token ids (callers running their own
+    /// espeak frontend against `tokens.txt`).
+    public func synthesize(
+        tokenIds: [Int],
+        promptAudio: URL,
+        promptTokenIds: [Int],
+        speed: Float = LuxTtsConstants.defaultSpeed,
+        seed: UInt64 = LuxTtsConstants.defaultSeed
+    ) async throws -> LuxTtsSynthesisResult {
+        guard let synthesizer = synthesizer else { throw LuxTtsError.notInitialized }
+
+        let prompt24k: [Float]
+        do {
+            let converter = AudioConverter(
+                sampleRate: Double(LuxTtsConstants.melSampleRate))
+            prompt24k = try converter.resampleAudioFile(promptAudio)
+        } catch {
+            throw LuxTtsError.invalidPromptAudio(
+                "cannot load \(promptAudio.path): \(error.localizedDescription)")
+        }
+
+        return try await synthesizer.synthesize(
+            promptTokenIds: promptTokenIds,
+            textTokenIds: tokenIds,
+            promptAudio24k: prompt24k,
+            speed: speed,
+            seed: seed)
+    }
+
+    public func cleanup() async {
+        if let store = store { await store.unload() }
+        store = nil
+        synthesizer = nil
+    }
+}
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsMelExtractor.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsMelExtractor.swift
new file mode 100644
index 000000000..45e47f79a
--- /dev/null
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsMelExtractor.swift
@@ -0,0 +1,160 @@
+import Accelerate
+import Foundation
+
+/// Native Swift port of the upstream LuxTTS mel frontend (`VocosFbank`):
+/// `torchaudio.transforms.MelSpectrogram(sample_rate: 24000, n_fft: 1024,
+/// hop_length: 256, n_mels: 100, center: true, power: 1)` followed by
+/// `log(clamp(min: 1e-7))`, with the frame count adjusted to lhotse's
+/// `compute_num_frames` (truncate, or replicate-pad the last frame).
+///
+/// torchaudio specifics mirrored here (they differ from the NeMo-flavoured
+/// `AudioMelSpectrogram`): periodic Hann window, reflect padding, magnitude
+/// (power = 1) spectrum, HTK mel scale with no filterbank normalization.
+///
+/// Structure mirrors `NemotronMelExtractor` / `AudioMelSpectrogram`.
+public final class LuxTtsMelExtractor {
+
+    private let nFFT = LuxTtsConstants.nFFT
+    private let hop = LuxTtsConstants.hopLength
+    private let nMels = LuxTtsConstants.nMels
+    private let sampleRate = LuxTtsConstants.melSampleRate
+
+    private let hannWindow: [Float]
+    private let melFilterbankFlat: [Float]  // [nMels x (nFFT/2+1)] row-major
+    private var fftSetup: vDSP_DFT_Setup?
+
+    public init() {
+        self.hannWindow = Self.periodicHannWindow(length: nFFT)
+        self.melFilterbankFlat = Self.htkMelFilterbank(
+            nFFT: nFFT, nMels: nMels, sampleRate: sampleRate)
+        self.fftSetup = vDSP_DFT_zop_CreateSetup(nil, vDSP_Length(nFFT), .FORWARD)
+    }
+
+    deinit {
+        if let setup = fftSetup {
+            vDSP_DFT_DestroySetup(setup)
+        }
+    }
+
+    /// lhotse `compute_num_frames`: `(num_samples + hop/2) / hop`.
+    public func frameCount(sampleCount: Int) -> Int {
+        (sampleCount + hop / 2) / hop
+    }
+
+    /// Compute the log-mel spectrogram of 24 kHz mono audio.
+    /// - Returns: `[T][nMels]` log-mel frames (unscaled — the caller applies
+    ///   `LuxTtsConstants.featScale`), `T = frameCount(sampleCount:)`.
+    public func extract(audio: [Float]) -> [[Float]] {
+        let n = audio.count
+        let targetFrames = frameCount(sampleCount: n)
+        guard n > 0, targetFrames > 0, let setup = fftSetup else { return [] }
+
+        // Reflect-pad by nFFT/2 on both sides (torch pad_mode="reflect").
+        let pad = nFFT / 2
+        var padded = [Float](repeating: 0, count: n + 2 * pad)
+        for i in 0..<pad {
+            padded[i] = audio[min(pad - i, n - 1)]
+            padded[pad + n + i] = audio[max(n - 2 - i, 0)]
+        }
+        padded.replaceSubrange(pad..<(pad + n), with: audio)
+
+        // torchaudio frame count with center=true: 1 + floor(n / hop).
+        let stftFrames = 1 + n / hop
+
+        let bins = nFFT / 2 + 1
+        var realIn = [Float](repeating: 0, count: nFFT)
+        let imagIn = [Float](repeating: 0, count: nFFT)
+        var realOut = [Float](repeating: 0, count: nFFT)
+        var imagOut = [Float](repeating: 0, count: nFFT)
+        var magnitude = [Float](repeating: 0, count: bins)
+        var imagSq = [Float](repeating: 0, count: bins)
+        var melFrame = [Float](repeating: 0, count: nMels)
+
+        var frames: [[Float]] = []
+        frames.reserveCapacity(targetFrames)
+
+        for frameIdx in 0..<min(stftFrames, targetFrames) {
+            let start = frameIdx * hop
+            padded.withUnsafeBufferPointer { src in
+                hannWindow.withUnsafeBufferPointer { win in
+                    realIn.withUnsafeMutableBufferPointer { dst in
+                        vDSP_vmul(
+                            src.baseAddress! + start, 1,
+                            win.baseAddress!, 1,
+                            dst.baseAddress!, 1,
+                            vDSP_Length(nFFT))
+                    }
+                }
+            }
+
+            vDSP_DFT_Execute(setup, realIn, imagIn, &realOut, &imagOut)
+
+            // Magnitude (power = 1): sqrt(re^2 + im^2).
+            vDSP_vsq(realOut, 1, &magnitude, 1, vDSP_Length(bins))
+            vDSP_vsq(imagOut, 1, &imagSq, 1, vDSP_Length(bins))
+            vDSP_vadd(magnitude, 1, imagSq, 1, &magnitude, 1, vDSP_Length(bins))
+            var count = Int32(bins)
+            vvsqrtf(&magnitude, magnitude, &count)
+
+            melFilterbankFlat.withUnsafeBufferPointer { fb in
+                magnitude.withUnsafeBufferPointer { mag in
+                    melFrame.withUnsafeMutableBufferPointer { out in
+                        vDSP_mmul(
+                            fb.baseAddress!, 1,
+                            mag.baseAddress!, 1,
+                            out.baseAddress!, 1,
+                            vDSP_Length(nMels), 1, vDSP_Length(bins))
+                    }
+                }
+            }
+
+            frames.append(melFrame.map { log(max($0, LuxTtsConstants.logMelFloor)) })
+        }
+
+        // lhotse alignment: replicate the last frame if the STFT produced
+        // fewer frames than compute_num_frames asks for.
+        while frames.count < targetFrames, let last = frames.last {
+            frames.append(last)
+        }
+        return frames
+    }
+
+    // MARK: - Static tables
+
+    private static func periodicHannWindow(length: Int) -> [Float] {
+        (0..<length).map { i in
+            0.5 * (1.0 - cos(2.0 * Float.pi * Float(i) / Float(length)))
+        }
+    }
+
+    /// torchaudio `melscale_fbanks(norm: nil, mel_scale: "htk")`, flattened
+    /// row-major `[nMels x bins]` for `vDSP_mmul`.
+    private static func htkMelFilterbank(nFFT: Int, nMels: Int, sampleRate: Int) -> [Float] {
+        let bins = nFFT / 2 + 1
+        let fMax = Double(sampleRate) / 2.0
+
+        func hzToMel(_ hz: Double) -> Double { 2595.0 * log10(1.0 + hz / 700.0) }
+        func melToHz(_ mel: Double) -> Double { 700.0 * (pow(10.0, mel / 2595.0) - 1.0) }
+
+        let melMin = hzToMel(0)
+        let melMax = hzToMel(fMax)
+        let melPoints = (0..<(nMels + 2)).map { i in
+            melToHz(melMin + Double(i) * (melMax - melMin) / Double(nMels + 1))
+        }
+        // all_freqs = linspace(0, sr/2, bins)
+        let freqs = (0..<bins).map { Double($0) * fMax / Double(bins - 1) }
+
+        var flat = [Float](repeating: 0, count: nMels * bins)
+        for m in 0..<nMels {
+            let fLeft = melPoints[m]
+            let fCenter = melPoints[m + 1]
+            let fRight = melPoints[m + 2]
+            for b in 0..<bins {
+                let up = (freqs[b] - fLeft) / (fCenter - fLeft)
+                let down = (fRight - freqs[b]) / (fRight - fCenter)
+                flat[m * bins + b] = Float(max(0.0, min(up, down)))
+            }
+        }
+        return flat
+    }
+}
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsModelStore.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsModelStore.swift
new file mode 100644
index 000000000..158a77f1a
--- /dev/null
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsModelStore.swift
@@ -0,0 +1,182 @@
+@preconcurrency import CoreML
+import Foundation
+
+/// Downloads the LuxTTS CoreML assets from HuggingFace
+/// (`FluidInference/luxtts-coreml`) into the shared TTS cache.
+public enum LuxTtsResourceDownloader {
+
+    private static let logger = AppLogger(category: "LuxTtsResourceDownloader")
+
+    /// Ensure all required LuxTTS files for the given graph variant are
+    /// present locally. Returns the resolved repo directory.
+    @discardableResult
+    public static func ensureModels(
+        directory: URL? = nil,
+        variant: String = ModelNames.LuxTts.defaultVariant,
+        progressHandler: ProgressHandler? = nil
+    ) async throws -> URL {
+        let modelsRoot = try directory ?? defaultCacheRoot()
+        let repoDir = modelsRoot.appendingPathComponent(Repo.luxtts.folderName)
+
+        let required = ModelNames.LuxTts.requiredFiles(variant: variant)
+        let allPresent = required.allSatisfy { file in
+            FileManager.default.fileExists(atPath: repoDir.appendingPathComponent(file).path)
+        }
+
+        if !allPresent {
+            logger.info("Downloading LuxTTS CoreML assets (\(variant)/) from HuggingFace…")
+            do {
+                try await ModelHub.download(
+                    .luxtts, to: modelsRoot, variant: variant,
+                    progressHandler: progressHandler)
+            } catch {
+                throw LuxTtsError.downloadFailed("\(error)")
+            }
+        } else {
+            logger.info("LuxTTS assets found in cache at \(repoDir.path)")
+        }
+
+        return repoDir
+    }
+
+    private static func defaultCacheRoot() throws -> URL {
+        let root = try TtsCacheDirectory.ensure().appendingPathComponent("Models")
+        if !FileManager.default.fileExists(atPath: root.path) {
+            try FileManager.default.createDirectory(at: root, withIntermediateDirectories: true)
+        }
+        return root
+    }
+}
+
+/// Actor-based store for the LuxTTS CoreML models: text encoder +
+/// flow-matching decoder (per-platform graph variant) and the two
+/// fixed-shape vocoders (loaded lazily by generated-frame budget).
+///
+/// Compute-unit placement is deliberate:
+///   - macOS loads the `gpu/` graphs with `.cpuAndGPU`. The original graph
+///     must NOT run on the ANE (rel-pos attention loses precision there and
+///     corrupts audio).
+///   - iOS loads the `ane/` graphs with `.cpuAndNeuralEngine` (100% ANE
+///     placement, ~25 MB jetsam-visible footprint).
+///   - The vocoder runs with `.cpuAndGPU` everywhere (ISTFT + resample +
+///     crossover in-graph, ~2.3 ms on GPU).
+public actor LuxTtsModelStore {
+
+    private let logger = AppLogger(category: "LuxTtsModelStore")
+
+    private let directory: URL?
+    private let computeUnitsOverride: MLComputeUnits?
+    let variant: String
+
+    private var repoDirectory: URL?
+    private var textEncoderModel: MLModel?
+    private var fmDecoderModel: MLModel?
+    private var vocoderModels: [Int: MLModel] = [:]
+    private var loadedTokenizer: LuxTtsTokenizer?
+
+    public init(
+        directory: URL? = nil,
+        variant: String = ModelNames.LuxTts.defaultVariant,
+        computeUnitsOverride: MLComputeUnits? = nil
+    ) {
+        self.directory = directory
+        self.variant = variant
+        self.computeUnitsOverride = computeUnitsOverride
+    }
+
+    private var encoderDecoderComputeUnits: MLComputeUnits {
+        if let override = computeUnitsOverride { return override }
+        return variant == ModelNames.LuxTts.aneVariant ? .cpuAndNeuralEngine : .cpuAndGPU
+    }
+
+    private var vocoderComputeUnits: MLComputeUnits {
+        computeUnitsOverride ?? .cpuAndGPU
+    }
+
+    // MARK: - Loading
+
+    public func loadIfNeeded(progressHandler: ProgressHandler? = nil) async throws {
+        if textEncoderModel != nil { return }
+
+        let repoDir = try await LuxTtsResourceDownloader.ensureModels(
+            directory: directory, variant: variant, progressHandler: progressHandler)
+        self.repoDirectory = repoDir
+
+        logger.info("Loading LuxTTS CoreML models (\(variant)/) from \(repoDir.path)…")
+        let loadStart = Date()
+
+        let config = MLModelConfiguration()
+        config.computeUnits = encoderDecoderComputeUnits
+
+        textEncoderModel = try loadModel(
+            repoDir: repoDir,
+            fileName: ModelNames.LuxTts.textEncoderFile(variant: variant), config: config)
+        fmDecoderModel = try loadModel(
+            repoDir: repoDir,
+            fileName: ModelNames.LuxTts.fmDecoderFile(variant: variant), config: config)
+
+        loadedTokenizer = try LuxTtsTokenizer(
+            tokensFileURL: repoDir.appendingPathComponent(ModelNames.LuxTts.tokensFile))
+
+        let elapsed = Date().timeIntervalSince(loadStart)
+        logger.info("LuxTTS models loaded in \(String(format: "%.2f", elapsed))s")
+    }
+
+    // MARK: - Accessors
+
+    public func textEncoder() throws -> MLModel {
+        guard let model = textEncoderModel else { throw LuxTtsError.notInitialized }
+        return model
+    }
+
+    public func fmDecoder() throws -> MLModel {
+        guard let model = fmDecoderModel else { throw LuxTtsError.notInitialized }
+        return model
+    }
+
+    public func tokenizer() throws -> LuxTtsTokenizer {
+        guard let tokenizer = loadedTokenizer else { throw LuxTtsError.notInitialized }
+        return tokenizer
+    }
+
+    /// Vocoder for a window of `bucket` generated frames (282 or 555).
+    /// Loaded lazily and cached — short utterances never pay for the 555
+    /// bucket, long ones never pay for the 282 one.
+    public func vocoder(bucket: Int) throws -> MLModel {
+        if let cached = vocoderModels[bucket] { return cached }
+        guard let repoDir = repoDirectory else { throw LuxTtsError.notInitialized }
+        let fileName =
+            bucket == 282
+            ? ModelNames.LuxTts.vocoder282File : ModelNames.LuxTts.vocoder555File
+        let config = MLModelConfiguration()
+        config.computeUnits = vocoderComputeUnits
+        let model = try loadModel(repoDir: repoDir, fileName: fileName, config: config)
+        vocoderModels[bucket] = model
+        return model
+    }
+
+    public func unload() {
+        textEncoderModel = nil
+        fmDecoderModel = nil
+        vocoderModels.removeAll()
+        loadedTokenizer = nil
+    }
+
+    // MARK: - Helpers
+
+    private func loadModel(
+        repoDir: URL, fileName: String, config: MLModelConfiguration
+    ) throws -> MLModel {
+        let modelURL = repoDir.appendingPathComponent(fileName)
+        guard FileManager.default.fileExists(atPath: modelURL.path) else {
+            throw LuxTtsError.modelFileNotFound(fileName)
+        }
+        do {
+            let model = try MLModel(contentsOf: modelURL, configuration: config)
+            logger.info("Loaded \(fileName)")
+            return model
+        } catch {
+            throw LuxTtsError.corruptedModel(fileName, underlying: "\(error)")
+        }
+    }
+}
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsSolver.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsSolver.swift
new file mode 100644
index 000000000..cf6520184
--- /dev/null
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsSolver.swift
@@ -0,0 +1,59 @@
+import Foundation
+
+/// Pure host-side math for the LuxTTS pipeline: ratio-based duration
+/// estimation, average-token-duration expansion indices, anchor-Euler
+/// solver timesteps and state update. All functions mirror the upstream
+/// ZipVoice implementations exactly (fixture-pinned).
+public enum LuxTtsSolver {
+
+    /// Total feature length: prompt frames + ratio-estimated generated frames.
+    /// Mirrors `prompt_len + ceil(prompt_len / prompt_tokens * text_tokens / speed)`.
+    public static func featuresLength(
+        promptFrames: Int, promptTokenCount: Int, textTokenCount: Int, speed: Double
+    ) -> Int {
+        let generated =
+            Double(promptFrames) / Double(promptTokenCount) * Double(textTokenCount) / speed
+        return promptFrames + Int(generated.rounded(.up))
+    }
+
+    /// Solver timesteps: `t_shift * u / (1 + (t_shift - 1) * u)` over
+    /// `linspace(0, 1, numSteps + 1)` (upstream `get_time_steps`).
+    public static func timeSteps(numSteps: Int, tShift: Double) -> [Double] {
+        (0...numSteps).map { i in
+            let u = Double(i) / Double(numSteps)
+            return tShift * u / (1.0 + (tShift - 1.0) * u)
+        }
+    }
+
+    /// Per-frame token index for the duration expansion. Mirrors upstream
+    /// `prepare_avg_tokens_durations` + `get_tokens_index`: every token gets
+    /// `featuresLength / tokensCount` frames and the remainder frames map to
+    /// index `tokensCount` — the appended pad-slot embedding row.
+    public static func tokensIndex(tokensCount: Int, featuresLength: Int) -> [Int] {
+        let avg = featuresLength / tokensCount
+        var index = [Int](repeating: tokensCount, count: featuresLength)
+        var frame = 0
+        for token in 0..<tokensCount {
+            for _ in 0..<avg {
+                index[frame] = token
+                frame += 1
+            }
+        }
+        return index
+    }
+
+    /// One anchor-Euler update:
+    /// `x1p = x + (1 - t)·v`, `x0p = x - t·v`, then
+    /// `x ← (1 - tNext)·x0p + tNext·x1p` (or `x1p` on the last step).
+    public static func anchorEulerUpdate(
+        x: [Double], v: [Double], tCur: Double, tNext: Double, isLast: Bool
+    ) -> [Double] {
+        precondition(x.count == v.count)
+        return zip(x, v).map { xi, vi in
+            let x1p = xi + (1.0 - tCur) * vi
+            if isLast { return x1p }
+            let x0p = xi - tCur * vi
+            return (1.0 - tNext) * x0p + tNext * x1p
+        }
+    }
+}
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsSynthesizer.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsSynthesizer.swift
new file mode 100644
index 000000000..8d7de7186
--- /dev/null
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsSynthesizer.swift
@@ -0,0 +1,348 @@
+import Accelerate
+@preconcurrency import CoreML
+import Foundation
+
+/// One LuxTTS synthesis run: 48 kHz mono samples plus the frame accounting
+/// used by callers to report durations.
+public struct LuxTtsSynthesisResult: Sendable {
+    /// Generated waveform, 48 kHz mono Float32 in [-1, 1].
+    public let samples: [Float]
+    /// Always `LuxTtsConstants.outputSampleRate` (48 000).
+    public let sampleRate: Int
+    /// Prompt conditioning length in 24 kHz mel frames.
+    public let promptFrames: Int
+    /// Generated mel frames (`featuresLength - promptFrames`).
+    public let generatedFrames: Int
+    /// Total flow-matching sequence length (prompt + generated frames).
+    public let featuresLength: Int
+}
+
+/// Drives the LuxTTS (ZipVoice-Distill) CoreML stages end-to-end, mirroring
+/// the Python reference host (`coreml/dump_swift_fixtures.py::synth_coreml`):
+///
+///   1. `TextEncoder(tokens, padding_mask) → token_embeds`; keep `S + 1`
+///      rows (the extra pad-slot row absorbs remainder frames).
+///   2. Ratio duration estimate → `featuresLength`, avg-duration expansion
+///      of token embeddings to per-frame `text_condition`.
+///   3. `speech_condition` = prompt mel (feat-scaled) zero-padded to
+///      `featuresLength`; frame `padding_mask` = 1.0 beyond `featuresLength`.
+///   4. 4-step anchor-Euler flow matching over seeded N(0, 1) noise via
+///      `FmDecoder` (distill guidance_scale baked input, 3.0).
+///   5. Generated mel `/ featScale` → fixed-shape Vocos vocoder (282 / 555
+///      frame bucket) → 48 kHz waveform, truncated to `(gen - 1) * 512`
+///      samples and clipped to [-1, 1].
+///   6. If the prompt RMS was below `targetRms`, scale the waveform back
+///      down by `promptRms / targetRms` (upstream `rms_norm` contract).
+struct LuxTtsSynthesizer {
+
+    private let logger = AppLogger(category: "LuxTtsSynthesizer")
+    private let store: LuxTtsModelStore
+
+    init(store: LuxTtsModelStore) {
+        self.store = store
+    }
+
+    /// Synthesize from pre-tokenized ids and 24 kHz mono prompt audio.
+    func synthesize(
+        promptTokenIds: [Int],
+        textTokenIds: [Int],
+        promptAudio24k: [Float],
+        speed: Float,
+        seed: UInt64
+    ) async throws -> LuxTtsSynthesisResult {
+        guard !promptTokenIds.isEmpty else {
+            throw LuxTtsError.tokenizerFailed("prompt produced no tokens")
+        }
+        guard !textTokenIds.isEmpty else {
+            throw LuxTtsError.tokenizerFailed("text produced no tokens")
+        }
+        guard !promptAudio24k.isEmpty else {
+            throw LuxTtsError.invalidPromptAudio("no samples")
+        }
+        guard speed > 0 else {
+            throw LuxTtsError.invalidPromptAudio("speed must be > 0 (got \(speed))")
+        }
+
+        let featDim = LuxTtsConstants.featDim
+        let maxTokens = LuxTtsConstants.maxTokens
+        let maxFrames = LuxTtsConstants.maxFrames
+
+        // --- Prompt: cap length, rms-norm, mel ---
+        let maxPromptSamples = Int(
+            LuxTtsConstants.maxPromptSeconds * Double(LuxTtsConstants.melSampleRate))
+        var prompt = Array(promptAudio24k.prefix(maxPromptSamples))
+
+        var meanSquare: Float = 0
+        vDSP_measqv(prompt, 1, &meanSquare, vDSP_Length(prompt.count))
+        let promptRms = sqrt(meanSquare)
+        guard promptRms > 0 else {
+            throw LuxTtsError.invalidPromptAudio("prompt audio is silent")
+        }
+        if promptRms < LuxTtsConstants.targetRms {
+            var gain = LuxTtsConstants.targetRms / promptRms
+            vDSP_vsmul(prompt, 1, &gain, &prompt, 1, vDSP_Length(prompt.count))
+        }
+
+        let extractor = LuxTtsMelExtractor()
+        let promptMel = extractor.extract(audio: prompt)  // [T][100], unscaled
+        let promptFrames = promptMel.count
+        guard promptFrames > 0 else {
+            throw LuxTtsError.invalidPromptAudio("prompt too short for one mel frame")
+        }
+
+        // --- Duration estimate + shape-bucket guards ---
+        let cat = promptTokenIds + textTokenIds
+        let tokenCount = cat.count
+        guard tokenCount + 1 <= maxTokens else {
+            throw LuxTtsError.inputTooLong(
+                "prompt + text tokens \(tokenCount) + pad slot > \(maxTokens)")
+        }
+
+        let featuresLength = LuxTtsSolver.featuresLength(
+            promptFrames: promptFrames,
+            promptTokenCount: promptTokenIds.count,
+            textTokenCount: textTokenIds.count,
+            speed: Double(speed))
+        guard featuresLength <= maxFrames else {
+            throw LuxTtsError.inputTooLong(
+                "features length \(featuresLength) > \(maxFrames) frames "
+                    + "(shorter text or shorter prompt required)")
+        }
+        let genFrames = featuresLength - promptFrames
+        guard genFrames >= 2 else {
+            throw LuxTtsError.tokenizerFailed(
+                "estimated only \(genFrames) generated frames — text too short")
+        }
+        // TODO(phase 2): chunk long inputs across multiple vocoder windows
+        // instead of erroring; mel truncation is NOT allowed.
+        guard let bucket = LuxTtsConstants.vocoderBuckets.first(where: { $0 >= genFrames }) else {
+            throw LuxTtsError.inputTooLong(
+                "generated frames \(genFrames) exceed the largest vocoder bucket "
+                    + "(\(LuxTtsConstants.vocoderBuckets.max() ?? 0))")
+        }
+
+        // --- Stage 1: text encoder ---
+        let tokens = try makeArray(shape: [1, maxTokens], dataType: .int32)
+        let tokenMask = try makeArray(shape: [1, maxTokens], dataType: .float32)
+        tokens.withUnsafeMutableBufferPointer(ofType: Int32.self) { buf, _ in
+            for i in 0..<tokenCount { buf[i] = Int32(cat[i]) }
+        }
+        tokenMask.withUnsafeMutableBufferPointer(ofType: Float.self) { buf, _ in
+            // 1.0 = pad, from position S on (the extra pad-slot row at S is
+            // masked in attention but its embedding row is still consumed by
+            // the remainder frames of the expansion below).
+            for i in tokenCount..<maxTokens { buf[i] = 1.0 }
+        }
+
+        let encoderOut = try await predict(
+            stage: "TextEncoder",
+            model: store.textEncoder(),
+            inputs: [
+                "tokens": MLFeatureValue(multiArray: tokens),
+                "padding_mask": MLFeatureValue(multiArray: tokenMask),
+            ])
+        guard let embedsArray = encoderOut.featureValue(for: "token_embeds")?.multiArrayValue else {
+            throw LuxTtsError.inferenceFailed(stage: "TextEncoder", underlying: "no token_embeds")
+        }
+        // Compact copy: CoreML output rows are stride-padded (e.g. 100 → 112).
+        let embeds = try copyRows(
+            from: embedsArray, rowCount: tokenCount + 1, rowLength: featDim,
+            stage: "TextEncoder")
+
+        // --- Stage 2: expansion + conditions (fixed 1 × 1024 × 100) ---
+        let frameCapacity = maxFrames * featDim
+        let textCondition = try makeArray(shape: [1, maxFrames, featDim], dataType: .float32)
+        let speechCondition = try makeArray(shape: [1, maxFrames, featDim], dataType: .float32)
+        let frameMask = try makeArray(shape: [1, maxFrames], dataType: .float32)
+
+        let tokensIndex = LuxTtsSolver.tokensIndex(
+            tokensCount: tokenCount, featuresLength: featuresLength)
+        textCondition.withUnsafeMutableBufferPointer(ofType: Float.self) { out, _ in
+            for frame in 0..<featuresLength {
+                let src = tokensIndex[frame] * featDim
+                let dst = frame * featDim
+                for d in 0..<featDim { out[dst + d] = embeds[src + d] }
+            }
+        }
+        speechCondition.withUnsafeMutableBufferPointer(ofType: Float.self) { out, _ in
+            for frame in 0..<promptFrames {
+                let dst = frame * featDim
+                for d in 0..<featDim {
+                    out[dst + d] = promptMel[frame][d] * LuxTtsConstants.featScale
+                }
+            }
+        }
+        frameMask.withUnsafeMutableBufferPointer(ofType: Float.self) { buf, _ in
+            for i in featuresLength..<maxFrames { buf[i] = 1.0 }
+        }
+
+        // --- Stage 3: anchor-Euler flow matching ---
+        let activeCount = featuresLength * featDim
+        var noise = StyleTTS2NoiseSource(seed: seed)
+        var x = noise.nextGaussianArray(count: activeCount)
+
+        let xArray = try makeArray(shape: [1, maxFrames, featDim], dataType: .float32)
+        let tArray = try makeArray(shape: [1], dataType: .float32)
+        let guidance = try makeArray(shape: [1], dataType: .float32)
+        guidance[0] = NSNumber(value: LuxTtsConstants.guidanceScale)
+
+        let timeSteps = LuxTtsSolver.timeSteps(
+            numSteps: LuxTtsConstants.numSteps, tShift: LuxTtsConstants.tShift)
+        let decoder = try await store.fmDecoder()
+
+        var x0p = [Float](repeating: 0, count: activeCount)
+        var x1p = [Float](repeating: 0, count: activeCount)
+
+        for step in 0..<LuxTtsConstants.numSteps {
+            let tCur = Float(timeSteps[step])
+            let tNext = Float(timeSteps[step + 1])
+            let isLast = step == LuxTtsConstants.numSteps - 1
+
+            tArray[0] = NSNumber(value: tCur)
+            xArray.withUnsafeMutableBufferPointer(ofType: Float.self) { buf, _ in
+                x.withUnsafeBufferPointer { src in
+                    buf.baseAddress!.update(from: src.baseAddress!, count: activeCount)
+                }
+                for i in activeCount..<frameCapacity { buf[i] = 0 }
+            }
+
+            let out = try predict(
+                stage: "FmDecoder step \(step)",
+                model: decoder,
+                inputs: [
+                    "t": MLFeatureValue(multiArray: tArray),
+                    "x": MLFeatureValue(multiArray: xArray),
+                    "text_condition": MLFeatureValue(multiArray: textCondition),
+                    "speech_condition": MLFeatureValue(multiArray: speechCondition),
+                    "guidance_scale": MLFeatureValue(multiArray: guidance),
+                    "padding_mask": MLFeatureValue(multiArray: frameMask),
+                ])
+            guard let vArray = out.featureValue(for: "v")?.multiArrayValue else {
+                throw LuxTtsError.inferenceFailed(
+                    stage: "FmDecoder step \(step)", underlying: "no v output")
+            }
+            let v = try copyRows(
+                from: vArray, rowCount: featuresLength, rowLength: featDim,
+                stage: "FmDecoder step \(step)")
+
+            // x1p = x + (1 - t)·v ; x0p = x - t·v ;
+            // x ← (1 - tNext)·x0p + tNext·x1p (final step: x = x1p).
+            var oneMinusT = 1.0 - tCur
+            vDSP_vsma(v, 1, &oneMinusT, x, 1, &x1p, 1, vDSP_Length(activeCount))
+            if isLast {
+                x = x1p
+            } else {
+                var negT = -tCur
+                vDSP_vsma(v, 1, &negT, x, 1, &x0p, 1, vDSP_Length(activeCount))
+                var w0 = 1.0 - tNext
+                var w1 = tNext
+                vDSP_vsmsma(x0p, 1, &w0, x1p, 1, &w1, &x, 1, vDSP_Length(activeCount))
+            }
+        }
+
+        // --- Stage 4: vocoder ---
+        let melInput = try makeArray(shape: [1, featDim, bucket], dataType: .float32)
+        let logFloor = log(LuxTtsConstants.logMelFloor)
+        let invScale = 1.0 / LuxTtsConstants.featScale
+        melInput.withUnsafeMutableBufferPointer(ofType: Float.self) { buf, _ in
+            for m in 0..<featDim {
+                let row = m * bucket
+                for f in 0..<genFrames {
+                    buf[row + f] = x[(promptFrames + f) * featDim + m] * invScale
+                }
+                for f in genFrames..<bucket { buf[row + f] = logFloor }
+            }
+        }
+
+        let vocoderOut = try await predict(
+            stage: "Vocoder\(bucket)",
+            model: store.vocoder(bucket: bucket),
+            inputs: ["mel": MLFeatureValue(multiArray: melInput)])
+        guard let audioArray = vocoderOut.featureValue(for: "audio")?.multiArrayValue else {
+            throw LuxTtsError.inferenceFailed(
+                stage: "Vocoder\(bucket)", underlying: "no audio output")
+        }
+
+        let outputSamples = audioArray.shape.last?.intValue ?? audioArray.count
+        let sampleCount = min((genFrames - 1) * LuxTtsConstants.hop48k, outputSamples)
+        var samples = try copyRows(
+            from: audioArray, rowCount: 1, rowLength: sampleCount,
+            stage: "Vocoder\(bucket)")
+        var lo: Float = -1.0
+        var hi: Float = 1.0
+        vDSP_vclip(samples, 1, &lo, &hi, &samples, 1, vDSP_Length(sampleCount))
+
+        // Match the original prompt loudness when the prompt was boosted.
+        if promptRms < LuxTtsConstants.targetRms {
+            var gain = promptRms / LuxTtsConstants.targetRms
+            vDSP_vsmul(samples, 1, &gain, &samples, 1, vDSP_Length(sampleCount))
+        }
+
+        logger.info(
+            "LuxTTS synth: prompt \(promptFrames) frames, generated \(genFrames) frames "
+                + "(bucket \(bucket)), \(sampleCount) samples @48kHz")
+
+        return LuxTtsSynthesisResult(
+            samples: samples,
+            sampleRate: LuxTtsConstants.outputSampleRate,
+            promptFrames: promptFrames,
+            generatedFrames: genFrames,
+            featuresLength: featuresLength)
+    }
+
+    // MARK: - Helpers
+
+    /// Copy `rowCount` rows of `rowLength` floats out of a CoreML output
+    /// array into a compact buffer. CoreML prediction outputs are often
+    /// stride-padded along the row dimension (e.g. 100-float rows padded to
+    /// 112 on GPU) — reading the raw buffer contiguously scrambles every row
+    /// after the first, so the row stride must be honored.
+    private func copyRows(
+        from array: MLMultiArray, rowCount: Int, rowLength: Int, stage: String
+    ) throws -> [Float] {
+        let dims = array.shape.count
+        guard array.dataType == .float32, dims >= 2,
+            array.strides[dims - 1].intValue == 1,
+            rowLength <= array.shape[dims - 1].intValue,
+            rowCount <= array.shape[dims - 2].intValue
+        else {
+            throw LuxTtsError.inferenceFailed(
+                stage: stage,
+                underlying:
+                    "unexpected output layout: shape \(array.shape) strides \(array.strides) "
+                    + "dtype \(array.dataType.rawValue) for \(rowCount)×\(rowLength) read")
+        }
+        let rowStride = array.strides[dims - 2].intValue
+        var out = [Float](repeating: 0, count: rowCount * rowLength)
+        array.withUnsafeBufferPointer(ofType: Float.self) { src in
+            out.withUnsafeMutableBufferPointer { dst in
+                for row in 0..<rowCount {
+                    dst.baseAddress!.advanced(by: row * rowLength)
+                        .update(from: src.baseAddress!.advanced(by: row * rowStride), count: rowLength)
+                }
+            }
+        }
+        return out
+    }
+
+    private func makeArray(shape: [Int], dataType: MLMultiArrayDataType) throws -> MLMultiArray {
+        do {
+            let array = try MLMultiArray(shape: shape.map { NSNumber(value: $0) }, dataType: dataType)
+            array.reset(to: 0)
+            return array
+        } catch {
+            throw LuxTtsError.inferenceFailed(stage: "allocation", underlying: "\(error)")
+        }
+    }
+
+    private func predict(
+        stage: String, model: MLModel, inputs: [String: MLFeatureValue]
+    ) throws -> MLFeatureProvider {
+        do {
+            let provider = try MLDictionaryFeatureProvider(dictionary: inputs)
+            return try model.prediction(from: provider)
+        } catch {
+            throw LuxTtsError.inferenceFailed(stage: stage, underlying: "\(error)")
+        }
+    }
+}
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsTokenizer.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsTokenizer.swift
new file mode 100644
index 000000000..6e94293d1
--- /dev/null
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsTokenizer.swift
@@ -0,0 +1,74 @@
+import Foundation
+
+/// Phoneme-token table for LuxTTS (`tokens.txt`, EmiliaTokenizer format:
+/// one `{token}\t{id}` pair per line).
+///
+/// The English token set is per-character espeak IPA (stress marks, length
+/// marks and combining diacritics are separate single-scalar tokens), so a
+/// raw espeak phoneme string maps to ids scalar-by-scalar. Multi-character
+/// entries (the pinyin initial/final tokens for Mandarin) are only reachable
+/// through `tokenIds(tokens:)`.
+public struct LuxTtsTokenizer: Sendable {
+
+    private static let logger = AppLogger(category: "LuxTtsTokenizer")
+
+    public let tokenToId: [String: Int]
+    public let padId: Int
+    public var vocabSize: Int { tokenToId.count }
+
+    public init(tokensFileURL: URL) throws {
+        let content: String
+        do {
+            content = try String(contentsOf: tokensFileURL, encoding: .utf8)
+        } catch {
+            throw LuxTtsError.tokenizerFailed(
+                "cannot read \(tokensFileURL.path): \(error.localizedDescription)")
+        }
+
+        var map: [String: Int] = [:]
+        for line in content.split(separator: "\n", omittingEmptySubsequences: true) {
+            // Split on the FIRST tab only: the space token line is a literal
+            // space character followed by "\t3".
+            guard let tab = line.firstIndex(of: "\t"), let id = Int(line[line.index(after: tab)...])
+            else {
+                throw LuxTtsError.tokenizerFailed("malformed tokens.txt line: \(line)")
+            }
+            let token = String(line[..<tab])
+            guard map[token] == nil else {
+                throw LuxTtsError.tokenizerFailed("duplicate token: \(token)")
+            }
+            map[token] = id
+        }
+        guard let pad = map["_"] else {
+            throw LuxTtsError.tokenizerFailed("tokens.txt has no pad token '_'")
+        }
+        self.tokenToId = map
+        self.padId = pad
+    }
+
+    /// Map an espeak-style IPA phoneme string to token ids, one Unicode
+    /// scalar at a time (mirrors upstream: OOV scalars are skipped).
+    public func tokenIds(phonemes: String) -> [Int] {
+        var ids: [Int] = []
+        ids.reserveCapacity(phonemes.unicodeScalars.count)
+        var skipped: Set<String> = []
+        for scalar in phonemes.unicodeScalars {
+            let token = String(scalar)
+            if let id = tokenToId[token] {
+                ids.append(id)
+            } else {
+                skipped.insert(token)
+            }
+        }
+        if !skipped.isEmpty {
+            Self.logger.warning("Skipped OOV phoneme tokens: \(skipped.sorted().joined(separator: " "))")
+        }
+        return ids
+    }
+
+    /// Map explicit token strings (e.g. pinyin initials/finals) to ids,
+    /// skipping OOV entries like upstream.
+    public func tokenIds(tokens: [String]) -> [Int] {
+        tokens.compactMap { tokenToId[$0] }
+    }
+}
diff --git a/Sources/FluidAudio/TTS/TtsBackend.swift b/Sources/FluidAudio/TTS/TtsBackend.swift
index ee1957510..07761180b 100644
--- a/Sources/FluidAudio/TTS/TtsBackend.swift
+++ b/Sources/FluidAudio/TTS/TtsBackend.swift
@@ -27,4 +27,13 @@ public enum TtsBackend: Sendable {
     /// (31 languages), 44.1 kHz mono output. Voice styling via per-voice
     /// JSON (`style_ttl` / `style_dp` tensors).
     case supertonic3
+    /// LuxTTS (ZipVoice-Distill) — zero-shot voice cloning conditioned on a
+    /// short prompt clip + transcript. 3-stage CoreML pipeline
+    /// (`TextEncoder → FmDecoder ×4 anchor-Euler steps → fixed-shape Vocos
+    /// vocoder`), 48 kHz mono output.
+    ///
+    /// > Note: Phase 1 has no text frontend — input must be pre-phonemized
+    /// > espeak IPA (`LuxTtsManager.synthesize(phonemes:...)`); raw-text
+    /// > `synthesize(text:...)` throws `LuxTtsError.g2pUnavailable`.
+    case luxtts
 }
diff --git a/Sources/FluidAudioCLI/Commands/TTSCommand.swift b/Sources/FluidAudioCLI/Commands/TTSCommand.swift
index 287453c98..5ada976ac 100644
--- a/Sources/FluidAudioCLI/Commands/TTSCommand.swift
+++ b/Sources/FluidAudioCLI/Commands/TTSCommand.swift
@@ -96,6 +96,11 @@ public struct TTS {
         // VectorEstimator build: fp16 | int8/int6/int4 (ANE-bucketed) |
         // dyn-int8/dyn-int6/dyn-int4 (dynamic CPU/GPU). Default fp16.
         var supertonicVE: Supertonic3VectorEstimator = .aneBucketed(.int4)
+        // LuxTTS zero-shot voice-cloning args.
+        var luxttsPromptAudioPath: String? = nil
+        var luxttsPromptText: String? = nil
+        var luxttsSpeed: Float = LuxTtsConstants.defaultSpeed
+        var luxttsSeed: UInt64 = LuxTtsConstants.defaultSeed
 
         var i = 0
         while i < arguments.count {
@@ -153,6 +158,8 @@ public struct TTS {
                         backend = .styletts2
                     case "supertonic3", "supertonic-3", "sup3":
                         backend = .supertonic3
+                    case "luxtts", "lux-tts", "lux", "zipvoice":
+                        backend = .luxtts
                     default:
                         logger.warning("Unknown backend '\(arguments[i + 1])'; using kokoro-ane")
                     }
@@ -188,6 +195,17 @@ public struct TTS {
             case "--speed":
                 if i + 1 < arguments.count, let v = Float(arguments[i + 1]) {
                     supertonicSpeed = v
+                    luxttsSpeed = v
+                    i += 1
+                }
+            case "--prompt-audio":
+                if i + 1 < arguments.count {
+                    luxttsPromptAudioPath = arguments[i + 1]
+                    i += 1
+                }
+            case "--prompt-text":
+                if i + 1 < arguments.count {
+                    luxttsPromptText = arguments[i + 1]
                     i += 1
                 }
             case "--silence":
@@ -219,6 +237,7 @@ public struct TTS {
                 if i + 1 < arguments.count, let parsed = UInt64(arguments[i + 1]) {
                     styletts2Seed = parsed
                     pocketSeed = parsed
+                    luxttsSeed = parsed
                     i += 1
                 }
             case "--cpu-only":
@@ -323,6 +342,135 @@ public struct TTS {
                 silenceDuration: supertonicSilence,
                 vectorEstimator: supertonicVE,
                 metricsPath: metricsPath, cpuOnly: cpuOnly)
+        case .luxtts:
+            await runLuxTts(
+                text: text, output: output,
+                promptAudioPath: luxttsPromptAudioPath,
+                promptText: luxttsPromptText,
+                treatAsPhonemes: treatAsPhonemes,
+                speed: luxttsSpeed, seed: luxttsSeed,
+                metricsPath: metricsPath)
+        }
+    }
+
+    /// Run LuxTTS zero-shot voice cloning. Requires `--prompt-audio` and
+    /// `--prompt-text`. Phase 1 ships no text→espeak-IPA frontend, so
+    /// `--phonemes` is required: both the positional text and
+    /// `--prompt-text` are interpreted as espeak IPA (en-us) phoneme
+    /// strings from the `tokens.txt` token set.
+    private static func runLuxTts(
+        text: String, output: String,
+        promptAudioPath: String?, promptText: String?,
+        treatAsPhonemes: Bool,
+        speed: Float, seed: UInt64,
+        metricsPath: String?
+    ) async {
+        guard let promptAudioPath else {
+            logger.error("luxtts backend requires --prompt-audio <clip.wav>")
+            exit(1)
+        }
+        guard let promptText else {
+            logger.error(
+                "luxtts backend requires --prompt-text (the prompt clip's transcript)")
+            exit(1)
+        }
+        guard treatAsPhonemes else {
+            logger.error(
+                "luxtts phase 1 has no text→espeak-IPA frontend: pass --phonemes and "
+                    + "provide espeak IPA (en-us) for both the text and --prompt-text "
+                    + "(e.g. via `espeak-ng`/piper-phonemize against the LuxTTS tokens.txt "
+                    + "set). Raw-text G2P is phase 2.")
+            exit(1)
+        }
+        do {
+            let tStart = Date()
+            let manager = LuxTtsManager()
+
+            let tLoad0 = Date()
+            try await manager.initialize()
+            let tLoad1 = Date()
+
+            let promptURL = resolveInputURL(promptAudioPath)
+            logger.info("LuxTTS prompt audio: \(promptURL.path)")
+            logger.info(
+                "LuxTTS speed=\(String(format: "%.2f", speed)) seed=\(seed)")
+
+            let tSynth0 = Date()
+            let result = try await manager.synthesize(
+                phonemes: text,
+                promptAudio: promptURL,
+                promptPhonemes: promptText,
+                speed: speed,
+                seed: seed)
+            let tSynth1 = Date()
+
+            let outURL = resolveInputURL(output)
+            try FileManager.default.createDirectory(
+                at: outURL.deletingLastPathComponent(),
+                withIntermediateDirectories: true)
+            // No peak normalization: the output level carries the
+            // prompt-matched loudness (upstream rms_norm contract).
+            let wav = try AudioWAV.data(
+                from: result.samples,
+                sampleRate: Double(result.sampleRate),
+                normalize: false)
+            try wav.write(to: outURL)
+
+            let loadS = tLoad1.timeIntervalSince(tLoad0)
+            let synthS = tSynth1.timeIntervalSince(tSynth0)
+            let totalS = tSynth1.timeIntervalSince(tStart)
+            let audioSecs = Double(result.samples.count) / Double(result.sampleRate)
+            let rtfx = synthS > 0 ? audioSecs / synthS : 0
+            let sumSquares = result.samples.reduce(Double(0)) { $0 + Double($1) * Double($1) }
+            let rms = result.samples.isEmpty ? 0 : (sumSquares / Double(result.samples.count)).squareRoot()
+
+            logger.info("LuxTTS synthesis complete")
+            logger.info("  Load: \(String(format: "%.3f", loadS))s")
+            logger.info("  Synthesis: \(String(format: "%.3f", synthS))s")
+            logger.info(
+                "  Audio: \(String(format: "%.3f", audioSecs))s "
+                    + "(\(result.samples.count) samples @ \(result.sampleRate) Hz)")
+            logger.info(
+                "  Frames: prompt=\(result.promptFrames) "
+                    + "generated=\(result.generatedFrames) total=\(result.featuresLength)")
+            logger.info("  RMS: \(String(format: "%.5f", rms))")
+            logger.info("  RTFx: \(String(format: "%.2f", rtfx))x")
+            logger.info("  Total: \(String(format: "%.3f", totalS))s")
+            logger.info("  Output: \(outURL.path)")
+
+            if let metricsPath {
+                let metricsDict: [String: Any] = [
+                    "backend": "luxtts",
+                    "text": text,
+                    "prompt_audio": promptURL.path,
+                    "speed": Double(speed),
+                    "seed": seed,
+                    "output": outURL.path,
+                    "model_load_time_s": loadS,
+                    "inference_time_s": synthS,
+                    "audio_duration_s": audioSecs,
+                    "audio_samples": result.samples.count,
+                    "audio_rms": rms,
+                    "prompt_frames": result.promptFrames,
+                    "generated_frames": result.generatedFrames,
+                    "realtime_speed": rtfx,
+                    "total_time_s": totalS,
+                ]
+                let artifactsRoot = try ensureArtifactsRoot()
+                let mURL = resolveOutputURL(
+                    metricsPath, artifactsRoot: artifactsRoot, expectsDirectory: false)
+                try FileManager.default.createDirectory(
+                    at: mURL.deletingLastPathComponent(),
+                    withIntermediateDirectories: true)
+                let json = try JSONSerialization.data(
+                    withJSONObject: metricsDict, options: [.prettyPrinted])
+                try json.write(to: mURL)
+                logger.info("Metrics saved: \(mURL.path)")
+            }
+        } catch {
+            logger.error("LuxTTS Error: \(error)")
+            print("LuxTTS failed: \(error)")
+            exit(1)
         }
     }
 
@@ -921,7 +1069,7 @@ public struct TTS {
             Options:
               --output, -o         Output WAV path (default: output.wav)
               --voice, -v          Voice name (default: af_heart for KokoroAne, alba for PocketTTS)
-              --backend            TTS backend: kokoro-ane (default), pocket, styletts2, supertonic3
+              --backend            TTS backend: kokoro-ane (default), pocket, styletts2, supertonic3, luxtts
                                    StyleTTS2 (zero-shot, English):
                                      --reference <speaker.wav>  required
                                      --alpha 0.3                ref-side blend (default 0.3)
@@ -936,6 +1084,13 @@ public struct TTS {
                                      --speed 1.05               duration multiplier (default 1.05)
                                      --silence 0.05             inter-chunk silence seconds (default 0.05)
                                      --cpu-only                 disable Neural Engine
+                                   LuxTTS (zero-shot voice cloning, 48 kHz):
+                                     --prompt-audio <clip.wav>  required — voice prompt (<= 5 s used)
+                                     --prompt-text "…"          required — prompt transcript as espeak IPA
+                                     --phonemes                 required in phase 1: text and --prompt-text
+                                                                are espeak IPA (en-us) phoneme strings
+                                     --speed 1.0                speech-rate divisor (default 1.0)
+                                     --seed N                   flow-matching noise seed (default 42)
               --lexicon, -l        Custom pronunciation lexicon file (KokoroAne --variant zh only):
                                      word  pinyin1 pinyin2   (e.g. zi4 jie2)
                                      word  @bopomofo1        (escape: @-prefixed,
diff --git a/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsE2ETests.swift b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsE2ETests.swift
new file mode 100644
index 000000000..71db39db3
--- /dev/null
+++ b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsE2ETests.swift
@@ -0,0 +1,86 @@
+import XCTest
+
+@testable import FluidAudio
+
+/// Model-dependent end-to-end synthesis test. Downloads/loads the LuxTTS
+/// CoreML stages, so it only runs when explicitly requested:
+/// `FLUIDAUDIO_RUN_LUXTTS_E2E=1 swift test --filter LuxTtsE2ETests`.
+///
+/// Gates mirror the Python fixture run (`dump_swift_fixtures.py`):
+/// identical frame accounting (same tokenizer + duration math ⇒ exact),
+/// 48 kHz output, and RMS within 1 dB of the Python CoreML pipeline
+/// (waveforms differ — the noise RNG is not torch's).
+final class LuxTtsE2ETests: XCTestCase {
+
+    private var shouldRunHeavy: Bool {
+        ProcessInfo.processInfo.environment["FLUIDAUDIO_RUN_LUXTTS_E2E"] == "1"
+    }
+
+    func testSynthesizeMatchesPythonFixtureStats() async throws {
+        try XCTSkipUnless(
+            shouldRunHeavy,
+            "Set FLUIDAUDIO_RUN_LUXTTS_E2E=1 to run end-to-end LuxTTS synth tests.")
+
+        let fixtures = try LuxTtsFixtures.load()
+        let text = fixtures.texts[fixtures.e2e.textIndex]
+
+        // Reconstruct the prompt clip from the 24 kHz fixture waveform so the
+        // test does not depend on files outside the repo. 16-bit quantization
+        // perturbs the mel at ~1e-4 — irrelevant for the stat gates below.
+        let promptSamples = try LuxTtsFixtures.loadFloats("prompt_24k_f32le.bin")
+        let promptURL = FileManager.default.temporaryDirectory
+            .appendingPathComponent("luxtts_e2e_prompt_\(UUID().uuidString).wav")
+        let promptWav = try AudioWAV.data(
+            from: promptSamples,
+            sampleRate: Double(LuxTtsConstants.melSampleRate),
+            normalize: false)
+        try promptWav.write(to: promptURL)
+        defer { try? FileManager.default.removeItem(at: promptURL) }
+
+        let manager = try await LuxTtsManager.downloadAndCreate()
+        let isReady = await manager.isAvailable
+        XCTAssertTrue(isReady, "Manager did not become available after initialize()")
+
+        let result = try await manager.synthesize(
+            phonemes: text.phonemeString,
+            promptAudio: promptURL,
+            promptPhonemes: fixtures.prompt.phonemeString,
+            speed: Float(fixtures.e2e.speed),
+            seed: UInt64(fixtures.e2e.seed))
+
+        // Frame accounting must be identical to Python (pure integer math
+        // over fixture-pinned token ids and mel frame counts).
+        XCTAssertEqual(result.sampleRate, 48000)
+        XCTAssertEqual(result.promptFrames, fixtures.prompt.melFrames)
+        XCTAssertEqual(result.featuresLength, fixtures.e2e.featuresLen)
+        XCTAssertEqual(result.generatedFrames, fixtures.e2e.genFrames)
+        XCTAssertEqual(result.samples.count, fixtures.e2e.wavSamples)
+
+        // Loudness within 1 dB of the Python CoreML pipeline, and non-silent.
+        let sumSquares = result.samples.reduce(Double(0)) { $0 + Double($1) * Double($1) }
+        let rms = (sumSquares / Double(result.samples.count)).squareRoot()
+        XCTAssertGreaterThan(rms, 0.01, "output is (near-)silent")
+        let dbDelta = 20.0 * log10(rms / fixtures.e2e.rms)
+        XCTAssertLessThan(abs(dbDelta), 1.0, "RMS off by \(dbDelta) dB vs Python fixture")
+
+        await manager.cleanup()
+    }
+
+    func testRawTextSynthesisThrowsG2pUnavailable() async throws {
+        // No models needed: the phase-1 raw-text overload must fail loudly
+        // before touching the pipeline.
+        let manager = LuxTtsManager()
+        do {
+            _ = try await manager.synthesize(
+                text: "hello",
+                promptAudio: URL(fileURLWithPath: "/nonexistent.wav"),
+                promptText: "hello")
+            XCTFail("expected g2pUnavailable")
+        } catch let error as LuxTtsError {
+            guard case .g2pUnavailable = error else {
+                XCTFail("expected g2pUnavailable, got \(error)")
+                return
+            }
+        }
+    }
+}
diff --git a/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsFixtures.swift b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsFixtures.swift
new file mode 100644
index 000000000..bcc0a96c9
--- /dev/null
+++ b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsFixtures.swift
@@ -0,0 +1,145 @@
+import Foundation
+import XCTest
+
+/// Typed access to the Python-generated LuxTTS parity fixtures
+/// (`Resources/luxtts_fixtures.json` + binary companions), produced by
+/// `mobius/models/tts/zipvoice/coreml/dump_swift_fixtures.py`.
+struct LuxTtsFixtures: Decodable {
+
+    struct Expansion: Decodable {
+        let tokensLen: Int
+        let featuresLen: Int
+        let avgTokenDuration: Int
+        let tokensIndexLen: Int
+        let tokensIndex: [Int]
+
+        enum CodingKeys: String, CodingKey {
+            case tokensLen = "tokens_len"
+            case featuresLen = "features_len"
+            case avgTokenDuration = "avg_token_duration"
+            case tokensIndexLen = "tokens_index_len"
+            case tokensIndex = "tokens_index"
+        }
+    }
+
+    struct Prompt: Decodable {
+        let transcript: String
+        let rmsPreNorm: Double
+        let targetRms: Double
+        let wav24kSamples: Int
+        let melFrames: Int
+        let melDim: Int
+        let melFirst3Frames: [[Double]]
+        let phonemeString: String
+        let tokenIds: [Int]
+
+        enum CodingKeys: String, CodingKey {
+            case transcript
+            case rmsPreNorm = "rms_pre_norm"
+            case targetRms = "target_rms"
+            case wav24kSamples = "wav_24k_samples"
+            case melFrames = "mel_frames"
+            case melDim = "mel_dim"
+            case melFirst3Frames = "mel_first3_frames"
+            case phonemeString = "phoneme_string"
+            case tokenIds = "token_ids"
+        }
+    }
+
+    struct Text: Decodable {
+        let text: String
+        let phonemeString: String
+        let tokenIds: [Int]
+        let catTokensLen: Int
+        let featuresLenSpeed1: Int
+        let expansion: Expansion
+
+        enum CodingKeys: String, CodingKey {
+            case text
+            case phonemeString = "phoneme_string"
+            case tokenIds = "token_ids"
+            case catTokensLen = "cat_tokens_len"
+            case featuresLenSpeed1 = "features_len_speed1"
+            case expansion
+        }
+    }
+
+    struct MiniTrajectory: Decodable {
+        let x0: [Double]
+        let vSteps: [[Double]]
+        let xFinal: [Double]
+
+        enum CodingKeys: String, CodingKey {
+            case x0
+            case vSteps = "v_steps"
+            case xFinal = "x_final"
+        }
+    }
+
+    struct Solver: Decodable {
+        let numSteps: Int
+        let tShift: Double
+        let timesteps: [Double]
+        let miniTrajectory: MiniTrajectory
+
+        enum CodingKeys: String, CodingKey {
+            case numSteps = "num_steps"
+            case tShift = "t_shift"
+            case timesteps
+            case miniTrajectory = "mini_trajectory"
+        }
+    }
+
+    struct E2E: Decodable {
+        let textIndex: Int
+        let seed: Int
+        let speed: Double
+        let featuresLen: Int
+        let genFrames: Int
+        let wavSamples: Int
+        let wavSeconds: Double
+        let rms: Double
+
+        enum CodingKeys: String, CodingKey {
+            case textIndex = "text_index"
+            case seed
+            case speed
+            case featuresLen = "features_len"
+            case genFrames = "gen_frames"
+            case wavSamples = "wav_samples"
+            case wavSeconds = "wav_seconds"
+            case rms
+        }
+    }
+
+    let prompt: Prompt
+    let texts: [Text]
+    let solver: Solver
+    let e2e: E2E
+
+    // MARK: - Loading
+
+    static func resourceURL(_ name: String) throws -> URL {
+        guard
+            let url = Bundle.module.url(
+                forResource: name, withExtension: nil, subdirectory: "Resources")
+        else {
+            throw XCTSkip("LuxTts fixture resource missing: \(name)")
+        }
+        return url
+    }
+
+    static func load() throws -> LuxTtsFixtures {
+        let data = try Data(contentsOf: resourceURL("luxtts_fixtures.json"))
+        return try JSONDecoder().decode(LuxTtsFixtures.self, from: data)
+    }
+
+    /// Read a little-endian Float32 binary fixture.
+    static func loadFloats(_ name: String) throws -> [Float] {
+        let data = try Data(contentsOf: resourceURL(name))
+        precondition(data.count % 4 == 0, "\(name) size not a multiple of 4")
+        return data.withUnsafeBytes { raw in
+            Array(raw.bindMemory(to: Float.self))
+        }
+    }
+}
diff --git a/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsMelExtractorTests.swift b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsMelExtractorTests.swift
new file mode 100644
index 000000000..c11cf8b88
--- /dev/null
+++ b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsMelExtractorTests.swift
@@ -0,0 +1,42 @@
+import XCTest
+
+@testable import FluidAudio
+
+/// Pins `LuxTtsMelExtractor` against the Python `VocosFbank` fixture mel of
+/// the prompt clip (24 kHz, n_fft 1024, hop 256, 100 mels, log + ×0.1).
+final class LuxTtsMelExtractorTests: XCTestCase {
+
+    func testFrameCountMatchesLhotse() {
+        let extractor = LuxTtsMelExtractor()
+        // lhotse compute_num_frames: (n + hop/2) / hop.
+        XCTAssertEqual(extractor.frameCount(sampleCount: 103936), 406)
+        XCTAssertEqual(extractor.frameCount(sampleCount: 256), 1)
+        XCTAssertEqual(extractor.frameCount(sampleCount: 127), 0)
+        XCTAssertEqual(extractor.frameCount(sampleCount: 128), 1)
+    }
+
+    func testPromptMelMatchesFixture() throws {
+        let fixtures = try LuxTtsFixtures.load()
+        let audio = try LuxTtsFixtures.loadFloats("prompt_24k_f32le.bin")
+        XCTAssertEqual(audio.count, fixtures.prompt.wav24kSamples)
+
+        let extractor = LuxTtsMelExtractor()
+        let mel = extractor.extract(audio: audio)
+        XCTAssertEqual(mel.count, fixtures.prompt.melFrames)
+        XCTAssertEqual(mel.first?.count, fixtures.prompt.melDim)
+
+        // Fixture mel is feat-scaled (×0.1); the extractor output is not.
+        let reference = try LuxTtsFixtures.loadFloats("prompt_mel_f32le.bin")
+        XCTAssertEqual(reference.count, mel.count * fixtures.prompt.melDim)
+
+        var maxAbsDiff: Float = 0
+        for frame in 0..<mel.count {
+            for d in 0..<fixtures.prompt.melDim {
+                let got = mel[frame][d] * LuxTtsConstants.featScale
+                let expected = reference[frame * fixtures.prompt.melDim + d]
+                maxAbsDiff = max(maxAbsDiff, abs(got - expected))
+            }
+        }
+        XCTAssertLessThan(maxAbsDiff, 1e-3, "mel parity gate: max_abs must stay < 1e-3")
+    }
+}
diff --git a/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsSolverTests.swift b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsSolverTests.swift
new file mode 100644
index 000000000..8af54e5ae
--- /dev/null
+++ b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsSolverTests.swift
@@ -0,0 +1,74 @@
+import XCTest
+
+@testable import FluidAudio
+
+/// Exact-parity gates for the pure host-side LuxTTS math against the Python
+/// fixtures: solver timesteps, ratio duration estimate, avg-duration
+/// expansion indices, and the anchor-Euler mini trajectory.
+final class LuxTtsSolverTests: XCTestCase {
+
+    func testTimeStepsMatchFixtureExactly() throws {
+        let fixtures = try LuxTtsFixtures.load()
+        let steps = LuxTtsSolver.timeSteps(
+            numSteps: fixtures.solver.numSteps, tShift: fixtures.solver.tShift)
+        XCTAssertEqual(steps.count, fixtures.solver.timesteps.count)
+        for (swift, python) in zip(steps, fixtures.solver.timesteps) {
+            // The fixture values are torch float32; the Swift Double result
+            // must round to the identical float32 (the decoder consumes fp32).
+            XCTAssertEqual(Float(swift), Float(python), "timestep mismatch")
+        }
+        XCTAssertEqual(steps.first, 0.0)
+        XCTAssertEqual(steps.last, 1.0)
+    }
+
+    func testFeaturesLengthMatchesFixture() throws {
+        let fixtures = try LuxTtsFixtures.load()
+        for text in fixtures.texts {
+            let featuresLength = LuxTtsSolver.featuresLength(
+                promptFrames: fixtures.prompt.melFrames,
+                promptTokenCount: fixtures.prompt.tokenIds.count,
+                textTokenCount: text.tokenIds.count,
+                speed: 1.0)
+            XCTAssertEqual(featuresLength, text.featuresLenSpeed1, "for: \(text.text)")
+        }
+    }
+
+    func testTokensIndexMatchesFixtureExactly() throws {
+        let fixtures = try LuxTtsFixtures.load()
+        for text in fixtures.texts {
+            let expansion = text.expansion
+            let index = LuxTtsSolver.tokensIndex(
+                tokensCount: expansion.tokensLen,
+                featuresLength: expansion.featuresLen)
+            XCTAssertEqual(index.count, expansion.tokensIndexLen)
+            XCTAssertEqual(index, expansion.tokensIndex, "for: \(text.text)")
+            // Remainder frames must point at the appended pad-slot row.
+            XCTAssertEqual(index.last, expansion.tokensLen)
+        }
+    }
+
+    func testAnchorEulerMiniTrajectoryMatchesFixture() throws {
+        let fixtures = try LuxTtsFixtures.load()
+        let solver = fixtures.solver
+        let trajectory = solver.miniTrajectory
+        let steps = LuxTtsSolver.timeSteps(numSteps: solver.numSteps, tShift: solver.tShift)
+        // The fixture trajectory was computed with the float32 timesteps.
+        let f32Steps = solver.timesteps
+
+        var x = trajectory.x0
+        for step in 0..<solver.numSteps {
+            // Guard that our Double timesteps round to the fixture's floats.
+            XCTAssertEqual(Float(steps[step]), Float(f32Steps[step]))
+            x = LuxTtsSolver.anchorEulerUpdate(
+                x: x,
+                v: trajectory.vSteps[step],
+                tCur: f32Steps[step],
+                tNext: f32Steps[step + 1],
+                isLast: step == solver.numSteps - 1)
+        }
+        XCTAssertEqual(x.count, trajectory.xFinal.count)
+        for (got, expected) in zip(x, trajectory.xFinal) {
+            XCTAssertEqual(got, expected, accuracy: 1e-12)
+        }
+    }
+}
diff --git a/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsTokenizerTests.swift b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsTokenizerTests.swift
new file mode 100644
index 000000000..4dff0e5b9
--- /dev/null
+++ b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsTokenizerTests.swift
@@ -0,0 +1,52 @@
+import XCTest
+
+@testable import FluidAudio
+
+/// Pins `LuxTtsTokenizer` against the EmiliaTokenizer fixtures: the parsed
+/// `tokens.txt` table and exact token-id sequences for the prompt + both
+/// test texts. Exact-parity gate — no tolerances.
+final class LuxTtsTokenizerTests: XCTestCase {
+
+    private func makeTokenizer() throws -> LuxTtsTokenizer {
+        try LuxTtsTokenizer(tokensFileURL: LuxTtsFixtures.resourceURL("tokens.txt"))
+    }
+
+    func testTokenTableParsing() throws {
+        let tokenizer = try makeTokenizer()
+        XCTAssertEqual(tokenizer.vocabSize, 360)
+        XCTAssertEqual(tokenizer.padId, 0)
+        XCTAssertEqual(tokenizer.tokenToId["_"], 0)
+        XCTAssertEqual(tokenizer.tokenToId[" "], 3)
+        XCTAssertEqual(tokenizer.tokenToId["ˈ"], 120)
+        // Multi-character pinyin entries survive the first-tab-only split.
+        XCTAssertNotNil(tokenizer.tokenToId["zh0"])
+    }
+
+    func testPromptTokenIdsMatchFixture() throws {
+        let fixtures = try LuxTtsFixtures.load()
+        let tokenizer = try makeTokenizer()
+        XCTAssertEqual(
+            tokenizer.tokenIds(phonemes: fixtures.prompt.phonemeString),
+            fixtures.prompt.tokenIds)
+    }
+
+    func testTextTokenIdsMatchFixture() throws {
+        let fixtures = try LuxTtsFixtures.load()
+        let tokenizer = try makeTokenizer()
+        for text in fixtures.texts {
+            XCTAssertEqual(
+                tokenizer.tokenIds(phonemes: text.phonemeString),
+                text.tokenIds,
+                "token ids diverged for: \(text.text)")
+        }
+    }
+
+    func testOovScalarsAreSkipped() throws {
+        let tokenizer = try makeTokenizer()
+        // '€' is not in tokens.txt; the surrounding tokens must be unaffected
+        // (EmiliaTokenizer skips OOV entries).
+        XCTAssertEqual(
+            tokenizer.tokenIds(phonemes: "a€b"),
+            tokenizer.tokenIds(phonemes: "ab"))
+    }
+}
diff --git a/Tests/FluidAudioTests/TTS/LuxTts/Resources/luxtts_fixtures.json b/Tests/FluidAudioTests/TTS/LuxTts/Resources/luxtts_fixtures.json
new file mode 100644
index 000000000..a6ecd9534
--- /dev/null
+++ b/Tests/FluidAudioTests/TTS/LuxTts/Resources/luxtts_fixtures.json
@@ -0,0 +1,2767 @@
+{
+ "prompt": {
+  "audio_source": "07_prompt_clip.wav",
+  "transcript": "quick brown fox jumps over the lazy dog and honestly it felt great.",
+  "rms_pre_norm": 0.134973406791687,
+  "target_rms": 0.1,
+  "wav_24k_samples": 103936,
+  "mel_frames": 406,
+  "mel_dim": 100,
+  "mel_first3_frames": [
+   [
+    0.20911626517772675,
+    0.27365636825561523,
+    0.26041731238365173,
+    0.19722706079483032,
+    0.1895601600408554,
+    0.14969466626644135,
+    0.032241757959127426,
+    -0.01754515990614891,
+    -0.06718220561742783,
+    -0.032778333872556686,
+    -0.062409717589616776,
+    -0.11423156410455704,
+    -0.21165204048156738,
+    -0.22556209564208984,
+    -0.04398961737751961,
+    -0.15130551159381866,
+    -0.13256922364234924,
+    -0.08061035722494125,
+    -0.21725110709667206,
+    -0.1348356455564499,
+    -0.07661992311477661,
+    0.003677688306197524,
+    -0.0014619420981034636,
+    -0.02234211191534996,
+    -0.0032924008555710316,
+    0.04963955655694008,
+    0.06446651369333267,
+    0.06585317105054855,
+    -0.05923975631594658,
+    0.025795727968215942,
+    0.011506497859954834,
+    -0.00565649988129735,
+    -0.00973553117364645,
+    0.012581149116158485,
+    -0.0680079534649849,
+    -0.10548839718103409,
+    -0.1485125571489334,
+    -0.1438799649477005,
+    -0.16817937791347504,
+    -0.1517023891210556,
+    -0.18759945034980774,
+    -0.19413231313228607,
+    -0.16790305078029633,
+    -0.17927461862564087,
+    -0.16868489980697632,
+    -0.23474478721618652,
+    -0.19557423889636993,
+    -0.28902339935302734,
+    -0.27518633008003235,
+    -0.22732770442962646,
+    -0.28014370799064636,
+    -0.2864076495170593,
+    -0.2834342122077942,
+    -0.24724088609218597,
+    -0.21951107680797577,
+    -0.17195111513137817,
+    -0.24894583225250244,
+    -0.17246325314044952,
+    -0.18172629177570343,
+    -0.17720061540603638,
+    -0.1656564474105835,
+    -0.10468198359012604,
+    -0.07494813948869705,
+    -0.06795237213373184,
+    -0.09044574946165085,
+    -0.15625008940696716,
+    -0.2038266956806183,
+    -0.1661490499973297,
+    -0.13057731091976166,
+    -0.11926479637622833,
+    -0.1157449409365654,
+    -0.06747978925704956,
+    -0.13624702394008636,
+    -0.12678001821041107,
+    -0.13568344712257385,
+    -0.17832700908184052,
+    -0.2104112207889557,
+    -0.2164493352174759,
+    -0.20783673226833344,
+    -0.17301879823207855,
+    -0.1769818514585495,
+    -0.12003973871469498,
+    -0.09175784140825272,
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+   }
+  },
+  {
+   "text": "FluidAudio runs speech models locally on Apple silicon, no cloud required.",
+   "tokens": [
+    "f",
+    "l",
+    "ˈ",
+    "u",
+    "ː",
+    "ɪ",
+    "d",
+    " ",
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+    "d",
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+    " ",
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+    " ",
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+    "i",
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+    "t",
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+    "m",
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+    "ɑ",
+    "ː",
+    "d",
+    "ə",
+    "l",
+    "z",
+    " ",
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+    "ɚ",
+    "d",
+    "."
+   ],
+   "phoneme_string": "flˈuːɪd ˈɔːdɪˌoʊ ɹˈʌnz spˈiːtʃ mˈɑːdəlz lˈoʊkəli ˌɔn ˈæpəl sˈɪlɪkən, nˈoʊ klˈaʊd ɹᵻkwˈaɪɚd.",
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+   "cat_tokens_len": 171,
+   "features_len_speed1": 868,
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+}
\ No newline at end of file
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literal 0
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diff --git a/Tests/FluidAudioTests/TTS/LuxTts/Resources/tokens.txt b/Tests/FluidAudioTests/TTS/LuxTts/Resources/tokens.txt
new file mode 100644
index 000000000..3ef098352
--- /dev/null
+++ b/Tests/FluidAudioTests/TTS/LuxTts/Resources/tokens.txt
@@ -0,0 +1,360 @@
+_	0
+^	1
+$	2
+ 	3
+!	4
+'	5
+(	6
+)	7
+,	8
+-	9
+.	10
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+uai3	314
+uai4	315
+uai5	316
+uan1	317
+uan2	318
+uan3	319
+uan4	320
+uan5	321
+uang1	322
+uang2	323
+uang3	324
+uang4	325
+uang5	326
+ue1	327
+ue2	328
+ue3	329
+ue4	330
+ui1	331
+ui2	332
+ui3	333
+ui4	334
+ui5	335
+un1	336
+un2	337
+un3	338
+un4	339
+un5	340
+uo1	341
+uo2	342
+uo3	343
+uo4	344
+uo5	345
+v2	346
+v3	347
+v4	348
+ve3	349
+ve4	350
+w0	351
+x0	352
+y0	353
+z0	354
+zh0	355
+ê1	356
+ê2	357
+ê3	358
+ê4	359

From fdf1fe60936e0d17bf30d3ae7a346a6625bd9174 Mon Sep 17 00:00:00 2001
From: Alex-Wengg <hanweng9@gmail.com>
Date: Wed, 8 Jul 2026 10:48:10 -0400
Subject: [PATCH 2/5] =?UTF-8?q?feat(tts/luxtts):=20espeak-parity=20English?=
 =?UTF-8?q?=20G2P=20=E2=80=94=20synthesize(text:)=20works=20(phase=202)?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

LuxTTS was trained on espeak-ng (en-us) phonemes via EmiliaTokenizer, so
raw-text input needs espeak parity, not a generic G2P. Approaches were
measured on a 1,000-sentence espeak-oracle corpus (conversational +
LibriSpeech + numbers/currency/dates + names):

  lexicon + clause rules (shipped):  99.6% sentence exact, 0.01% token edit
  naive word-by-word lexicon:         3.8% sentence exact, 5.72% token edit
  Misaki + symbol mapping (rejected): 0.5% sentence exact, 9.75% token edit

Gates were >=90% / <=2%. The Misaki route fails because the divergence
from espeak is lexical (vowel choices, stress positions, length marks),
not symbolic — no mapping layer can close it.

LuxTtsG2p (mirrors coreml/g2p/reference_g2p.py in mobius zipvoice):
- 139k-word lexicon, each word probed offline in 7 espeak carrier
  contexts (mid / clause-final / before-only-unstressed / before-vowel /
  before-pause-word / clause-initial / before-r); sparse TSV bundled as
  0.94 MB raw DEFLATE + 36 KB aux JSON, loaded lazily, no downloads.
- espeak clause machinery ported from translate.c/dictionary.c
  semantics: multi-word merge entries (in the -> ɪnðə), right-to-left
  $strend2 stress resolution, expect_verb/noun/past homograph counters
  (to record vs the record), position-aware $pause (liaison/flap
  blocking), case-sensitive rows (I pronoun vs i letter), all-caps
  spell-out, camelCase splitting, punctuation semantics incl. espeak's
  glued-token quirks (date.It's -> 'dot').
- LuxTtsEnglishNormalizer: faithful port of upstream ZipVoice
  EnglishTextNormalizer (abbreviations + inflect-parity numbers,
  hyphens preserved because espeak merges twenty-six -> twˈɛntisˈɪks).
  The shared #711 normalizer is intentionally not reused: its different
  spellings would break espeak-oracle token parity.

Wiring:
- LuxTtsManager.synthesize(text:promptAudio:promptText:) is real now;
  LuxTtsError.g2pUnavailable is gone.
- CLI: luxtts text mode needs no --phonemes (flag remains as an espeak-
  IPA bypass); --prompt-text is optional — when omitted the prompt clip
  is transcribed with Parakeet ASR (lazy: TTS-only users never download
  ASR models).
- fluidaudiocli luxtts-g2p-dump: corpus -> phonemes/ids JSONL for the
  reproducible oracle gate (validate.py score in mobius zipvoice).

Verification:
- Swift dump is byte-identical to the Python reference on all 1,000
  gate sentences; gates PASS (99.6% / 0.01%; dev 99.2% / 0.02%).
- e2e text mode: all 3 phase-1 fixture sentences synthesized via CLI and
  round-tripped through Parakeet transcribe; transcripts match the input
  text (FluidAudio -> 'Fluid Audio' via espeak camel-split, comma
  placement aside). The no---prompt-text ASR path round-trips exactly.
- LuxTtsG2pTests pin the fixture sentences (phonemes + token ids),
  normalizer year/ordinal/currency cases, weak forms/merges, strend2,
  homographs, all-caps, possessive fallback.
---
 .gitignore                                    |    3 +
 Documentation/TTS/LuxTts.md                   |  102 +-
 Package.swift                                 |    5 +-
 .../LuxTts/G2p/LuxTtsEnglishNormalizer.swift  |  238 ++
 .../FluidAudio/TTS/LuxTts/G2p/LuxTtsG2p.swift |  767 ++++++
 .../G2p/Resources/luxtts_en_us_g2p_aux.json   | 2251 +++++++++++++++++
 .../G2p/Resources/luxtts_en_us_lexicon.tsv.zz |  Bin 0 -> 982385 bytes
 .../FluidAudio/TTS/LuxTts/LuxTtsError.swift   |    7 -
 .../FluidAudio/TTS/LuxTts/LuxTtsManager.swift |   46 +-
 Sources/FluidAudio/TTS/TtsBackend.swift       |    6 +-
 .../Commands/TTS/LuxTtsG2pDumpCommand.swift   |   82 +
 .../FluidAudioCLI/Commands/TTSCommand.swift   |   82 +-
 Sources/FluidAudioCLI/FluidAudioCLI.swift     |    2 +
 .../TTS/LuxTts/LuxTtsE2ETests.swift           |   13 +-
 .../TTS/LuxTts/LuxTtsG2pTests.swift           |  122 +
 15 files changed, 3639 insertions(+), 87 deletions(-)
 create mode 100644 Sources/FluidAudio/TTS/LuxTts/G2p/LuxTtsEnglishNormalizer.swift
 create mode 100644 Sources/FluidAudio/TTS/LuxTts/G2p/LuxTtsG2p.swift
 create mode 100644 Sources/FluidAudio/TTS/LuxTts/G2p/Resources/luxtts_en_us_g2p_aux.json
 create mode 100644 Sources/FluidAudio/TTS/LuxTts/G2p/Resources/luxtts_en_us_lexicon.tsv.zz
 create mode 100644 Sources/FluidAudioCLI/Commands/TTS/LuxTtsG2pDumpCommand.swift
 create mode 100644 Tests/FluidAudioTests/TTS/LuxTts/LuxTtsG2pTests.swift

diff --git a/.gitignore b/.gitignore
index ac9ca3bc2..b0d3ac930 100644
--- a/.gitignore
+++ b/.gitignore
@@ -107,6 +107,9 @@ Resources/
 !Tests/FluidAudioTests/TTS/LuxTts/Resources/
 !Tests/FluidAudioTests/TTS/LuxTts/Resources/**
 Tests/FluidAudioTests/TTS/LuxTts/Resources/*.wav
+# LuxTts bundled G2P lexicon (probe_lexicon.py in mobius zipvoice)
+!Sources/FluidAudio/TTS/LuxTts/G2p/Resources/
+!Sources/FluidAudio/TTS/LuxTts/G2p/Resources/**
 scripts/
 !Scripts/parakeet_subset_benchmark.sh
 !Scripts/diarizer_subset_benchmark.sh
diff --git a/Documentation/TTS/LuxTts.md b/Documentation/TTS/LuxTts.md
index 66d1d57e3..40a7e9fd8 100644
--- a/Documentation/TTS/LuxTts.md
+++ b/Documentation/TTS/LuxTts.md
@@ -35,36 +35,37 @@ total, ≤ 555 generated frames (~5.9 s per call; chunking is phase 2).
 
 ```bash
 swift run fluidaudiocli tts \
-  "ðə kwˈɪk bɹˈaʊn fˈɑːks dʒˈʌmps ˌoʊvɚ ðə lˈeɪzi dˈɑːɡ, ænd ˈɑːnɪstli, ɪt fˈɛlt ɡɹˈeɪt." \
-  --phonemes \
+  "The quick brown fox jumps over the lazy dog, and honestly, it felt great." \
   --backend luxtts \
   --prompt-audio prompt_clip.wav \
-  --prompt-text "kwˈɪk bɹˈaʊn fˈɑːks dʒˈʌmps ˌoʊvɚ ðə lˈeɪzi dˈɑːɡ ænd ˈɑːnɪstli ɪt fˈɛlt ɡɹˈeɪt." \
+  --prompt-text "quick brown fox jumps over the lazy dog and honestly it felt great." \
   --seed 42 \
   --output out.wav
 ```
 
-`--prompt-audio` (voice to clone; first 5 s used) and `--prompt-text`
-(the prompt's transcript) are required. In phase 1 `--phonemes` is also
-required: both the positional text and `--prompt-text` must be espeak
-IPA (`en-us`) — see G2P status below.
+`--prompt-audio` (voice to clone; first 5 s used) is required. Text and
+`--prompt-text` are plain English — phonemized in-process by the
+espeak-parity G2P (see below). If `--prompt-text` is omitted, the prompt
+clip is transcribed with the built-in Parakeet ASR (models download on
+first use; TTS-only runs never pay that cost). `--phonemes` bypasses the
+G2P: both the text and `--prompt-text` are then espeak IPA (`en-us`).
 
 ### Swift API
 
 ```swift
 let manager = try await LuxTtsManager.downloadAndCreate()
 let result = try await manager.synthesize(
-    phonemes: "ðə kwˈɪk bɹˈaʊn fˈɑːks…",
+    text: "The quick brown fox jumps over the lazy dog.",
     promptAudio: promptURL,          // any format/rate; 24 kHz mono internally
-    promptPhonemes: "kwˈɪk bɹˈaʊn…",
+    promptText: "The transcript of the prompt clip.",
     speed: 1.0,
     seed: 42)
 // result.samples: 48 kHz mono Float32, prompt-matched loudness
 ```
 
-A token-ids overload (`synthesize(tokenIds:promptAudio:promptTokenIds:…)`)
-is available for callers running their own espeak frontend against
-`tokens.txt`.
+Phoneme overloads remain for callers running their own espeak frontend:
+`synthesize(phonemes:promptAudio:promptPhonemes:…)` and
+`synthesize(tokenIds:promptAudio:promptTokenIds:…)` (raw `tokens.txt` ids).
 
 ## Usage notes
 
@@ -84,39 +85,80 @@ is available for callers running their own espeak frontend against
   from the Python pipeline while duration/loudness match (fixture-gated:
   frame accounting exact, RMS within 1 dB).
 
-## G2P status (phase 1)
+## G2P (phase 2): espeak-parity English frontend
+
+The model was trained on espeak-ng (`en-us`) phonemes via
+EmiliaTokenizer, so `LuxTtsG2p` reproduces **espeak**, not a generic
+G2P. It is a lexicon + rules engine, fully offline:
+
+- **Lexicon**: 139k words × up to 7 espeak-probed context variants
+  (mid-clause / clause-final / before-only-unstressed / before-vowel /
+  before-pause-word / clause-initial / before-r), harvested offline from
+  espeak-ng via piper_phonemize. Bundled as a 0.94 MB raw-DEFLATE
+  resource (3.7 MB expanded) + 36 KB aux tables — no downloads.
+- **Clause rules** (ported from espeak's `translate.c`/`dictionary.c`
+  semantics): multi-word merge entries (`in the` → `ɪnðə`, `did not` →
+  `dɪdnˌɑːt`), `$strend2` stress resolution (right-to-left), homograph
+  verb/noun/past selection via `expect_verb/noun/past` counters
+  (`to record` → `ɹᵻkˈoːɹd` vs `the record` → `ɹˈɛkɚd`), position-aware
+  `$pause` handling (blocks liaison/flapping), linking-r, `the/to/a/an`
+  vowel-context forms, capital-sensitive rows (`I` pronoun vs `i`
+  letter, Polish/polish), all-caps spell-out (`FBI` → `ˌɛfbˌiːˈaɪ`),
+  camelCase splitting (`FluidAudio` → `flˈuːɪd ˈɔːdɪˌoʊ`).
+- **Normalization**: faithful port of the upstream ZipVoice
+  `EnglishTextNormalizer` (abbreviations + inflect-parity numbers:
+  `$12.50` → `twelve dollars, fifty cents`, `1855` → `eighteen
+  fifty-five`, `21st` → `twenty-first`) — hyphens preserved because
+  espeak merges them without a space.
+
+**Measured against the espeak oracle** (1,000-sentence corpus:
+conversational + LibriSpeech + numbers/dates/currency + names;
+regenerate + score via `mobius/models/tts/zipvoice/coreml/g2p/`):
+
+| Approach | Sentence exact match | Token edit rate |
+|---|---|---|
+| **Lexicon + rules (shipped)** | **99.6%** (gate ≥ 90%) | **0.01%** (gate ≤ 2%) |
+| naive word-by-word lexicon | 3.8% | 5.72% |
+| Misaki + symbol mapping (rejected) | 0.5% | 9.75% |
+
+The Misaki mapping layer was measured corpus-wide and rejected: the
+divergence from espeak is lexical (different vowel choices, stress
+positions, missing length marks), not just symbolic, so no mapping can
+close it. The gate is reproducible:
 
-There is **no built-in text→phoneme frontend**: `synthesize(text:…)`
-throws `LuxTtsError.g2pUnavailable`. The model was trained on espeak
-(`en-us`) phonemes via EmiliaTokenizer. The in-repo Kokoro/StyleTTS2
-Misaki frontend was evaluated and does **not** map cleanly onto
-`tokens.txt`: Misaki drops espeak length marks (`ː`), emits ligatures
-(`ʤ`) and diphthong shorthands (`A O I Y W`) and different weak forms —
-on the fixture sentence it produces 78 tokens vs espeak's 85, shifting
-both pronunciation and the duration estimate. Feeding raw graphemes is
-out-of-distribution for the model and is not offered.
+```bash
+swift run fluidaudiocli luxtts-g2p-dump --corpus corpus_en_1000.txt \
+  --tokens tokens.txt --out swift_dump.jsonl
+# in mobius/models/tts/zipvoice:
+python -m coreml.g2p.validate score --oracle coreml/g2p/oracle_tokens.jsonl \
+  --swift swift_dump.jsonl
+```
 
-Until phase 2, produce phonemes with espeak-ng / piper-phonemize
-(`en-us`); OOV scalars are skipped with a warning, matching upstream.
+OOV words fall back to possessive/plural suffix rules, camelCase/all-caps
+handling, then letter spell-out; OOV token-id scalars are skipped with a
+warning, matching upstream.
 
 ## Tests
 
 ```bash
-swift test --filter LuxTts                        # tokenizer/solver/mel parity (fixtures)
+swift test --filter LuxTts                        # tokenizer/solver/mel/G2P (fixtures)
 FLUIDAUDIO_RUN_LUXTTS_E2E=1 swift test --filter LuxTtsE2ETests   # model-dependent e2e
 ```
 
 Fixtures are generated by
 `mobius/models/tts/zipvoice/coreml/dump_swift_fixtures.py` and live in
-`Tests/FluidAudioTests/TTS/LuxTts/Resources/`.
+`Tests/FluidAudioTests/TTS/LuxTts/Resources/`. G2P expectations in
+`LuxTtsG2pTests` are espeak-oracle outputs from
+`mobius/models/tts/zipvoice/coreml/g2p/validate.py dump-oracle`; the
+corpus-level gate is scored with `luxtts-g2p-dump` + `validate.py score`
+(see the G2P section above).
 
-## Phase 2 TODOs
+## Remaining TODOs
 
-- espeak-parity English G2P (text → IPA) so `synthesize(text:…)` works.
 - Long-input chunking across multiple vocoder windows (> 555 generated
   frames currently errors; mel truncation is not allowed).
 - iOS `ane/` graph host wiring (input names differ from `gpu/`, may take
   pre-concatenated `(1, 300, 1, 1024)` inputs) + device validation.
-- Prompt transcription via built-in ASR (drop the `--prompt-text`
-  requirement).
 - Optional VAD-based automatic prompt-silence trimming.
+- Non-English text (the G2P is `en-us` only; Mandarin pinyin tokens
+  exist in `tokens.txt` but have no frontend).
diff --git a/Package.swift b/Package.swift
index e58511320..db938255c 100644
--- a/Package.swift
+++ b/Package.swift
@@ -26,7 +26,10 @@ let package = Package(
                 "FastClusterWrapper",
                 "MachTaskSelfWrapper",
             ],
-            path: "Sources/FluidAudio"
+            path: "Sources/FluidAudio",
+            resources: [
+                .copy("TTS/LuxTts/G2p/Resources")
+            ]
         ),
         .target(
             name: "FastClusterWrapper",
diff --git a/Sources/FluidAudio/TTS/LuxTts/G2p/LuxTtsEnglishNormalizer.swift b/Sources/FluidAudio/TTS/LuxTts/G2p/LuxTtsEnglishNormalizer.swift
new file mode 100644
index 000000000..38b1d922c
--- /dev/null
+++ b/Sources/FluidAudio/TTS/LuxTts/G2p/LuxTtsEnglishNormalizer.swift
@@ -0,0 +1,238 @@
+import Foundation
+
+/// Port of ZipVoice's English text normalization (EmiliaTokenizer path:
+/// `map_punctuations` + `zipvoice.tokenizer.normalizer.EnglishTextNormalizer`).
+///
+/// LuxTTS must match the *upstream* normalizer exactly — the espeak oracle
+/// the model was trained against runs behind it — so this is a faithful
+/// port (inflect-parity number spelling, hyphens preserved: espeak merges
+/// "twenty-six" -> `twˈɛntisˈɪks`), not a reuse of the repo's conservative
+/// `EnglishTextNormalizer` (issue #711), whose different output would shift
+/// tokens (e.g. "twenty six" with a space).
+enum LuxTtsEnglishNormalizer {
+
+    /// `EmiliaTokenizer.preprocess_text` + `EnglishTextNormalizer.normalize`.
+    static func normalize(_ text: String) -> String {
+        var result = mapPunctuations(text)
+        result = expandAbbreviations(result)
+        result = normalizeNumbers(result)
+        return result
+    }
+
+    // MARK: - map_punctuations
+
+    static func mapPunctuations(_ text: String) -> String {
+        var t = text
+        let pairs: [(String, String)] = [
+            ("，", ","), ("。", "."), ("！", "!"), ("？", "?"), ("；", ";"),
+            ("：", ":"), ("、", ","), ("‘", "'"), ("“", "\""), ("”", "\""),
+            ("’", "'"), ("⋯", "…"), ("···", "…"), ("・・・", "…"), ("...", "…"),
+        ]
+        for (from, to) in pairs {
+            t = t.replacingOccurrences(of: from, with: to)
+        }
+        return t
+    }
+
+    // MARK: - Abbreviations
+
+    private static let abbreviations: [(NSRegularExpression, String)] = [
+        ("mrs", "misess"), ("mr", "mister"), ("dr", "doctor"),
+        ("st", "saint"), ("co", "company"), ("jr", "junior"),
+        ("maj", "major"), ("gen", "general"), ("drs", "doctors"),
+        ("rev", "reverend"), ("lt", "lieutenant"), ("hon", "honorable"),
+        ("sgt", "sergeant"), ("capt", "captain"), ("esq", "esquire"),
+        ("ltd", "limited"), ("col", "colonel"), ("ft", "fort"),
+        ("etc", "et cetera"), ("btw", "by the way"),
+    ].map { (regex("\\b\($0.0)\\b", caseInsensitive: true), $0.1) }
+
+    private static func expandAbbreviations(_ text: String) -> String {
+        var t = text
+        for (re, replacement) in abbreviations {
+            t = re.stringByReplacingMatches(
+                in: t, range: NSRange(location: 0, length: (t as NSString).length),
+                withTemplate: replacement)
+        }
+        return t
+    }
+
+    // MARK: - Numbers (upstream regex order)
+
+    private static let commaNumberRe = regex(#"([0-9][0-9\,]+[0-9])"#)
+    private static let poundsRe = regex(#"£([0-9\,]*[0-9]+)"#)
+    private static let dollarsRe = regex(#"\$([0-9\.\,]*[0-9]+)"#)
+    private static let fractionRe = regex(#"([0-9]+)/([0-9]+)"#)
+    private static let decimalRe = regex(#"([0-9]+\.[0-9]+)"#)
+    private static let percentRe = regex(#"([0-9\.\,]*[0-9]+%)"#)
+    private static let ordinalRe = regex(#"[0-9]+(st|nd|rd|th)"#)
+    private static let numberRe = regex(#"[0-9]+"#)
+
+    private static func normalizeNumbers(_ text: String) -> String {
+        var t = text
+        t = replace(commaNumberRe, in: t) { g in g[1].replacingOccurrences(of: ",", with: "") }
+        t = replace(poundsRe, in: t) { g in "\(g[1]) pounds" }
+        t = replace(dollarsRe, in: t) { g in expandDollars(g[1]) }
+        t = replace(fractionRe, in: t) { g in
+            expandFraction(numerator: Int(g[1]) ?? 0, denominator: Int(g[2]) ?? 1)
+        }
+        t = replace(decimalRe, in: t) { g in g[1].replacingOccurrences(of: ".", with: " point ") }
+        t = replace(percentRe, in: t) { g in g[1].replacingOccurrences(of: "%", with: " percent") }
+        t = replace(ordinalRe, in: t) { g in " \(ordinalWords(g[0])) " }
+        t = replace(numberRe, in: t) { g in expandNumber(Int(g[0]) ?? 0) }
+        return t
+    }
+
+    private static func expandDollars(_ match: String) -> String {
+        let parts = match.split(separator: ".", omittingEmptySubsequences: false)
+        if parts.count > 2 { return " \(match) dollars " }
+        let dollars = parts.count > 0 ? Int(parts[0]) ?? 0 : 0
+        let cents = parts.count > 1 ? Int(parts[1]) ?? 0 : 0
+        // Digits remain here on purpose (upstream behavior); the trailing
+        // cardinal pass expands them.
+        if dollars != 0 && cents != 0 {
+            let dollarUnit = dollars == 1 ? "dollar" : "dollars"
+            let centUnit = cents == 1 ? "cent" : "cents"
+            return " \(dollars) \(dollarUnit), \(cents) \(centUnit) "
+        }
+        if dollars != 0 {
+            return " \(dollars) \(dollars == 1 ? "dollar" : "dollars") "
+        }
+        if cents != 0 {
+            return " \(cents) \(cents == 1 ? "cent" : "cents") "
+        }
+        return " zero dollars "
+    }
+
+    private static func expandFraction(numerator: Int, denominator: Int) -> String {
+        if numerator == 1 && denominator == 2 { return " one half " }
+        if numerator == 1 && denominator == 4 { return " one quarter " }
+        if denominator == 2 { return " \(cardinalWords(numerator)) halves " }
+        if denominator == 4 { return " \(cardinalWords(numerator)) quarters " }
+        return " \(cardinalWords(numerator)) \(ordinalize(cardinalWords(denominator))) "
+    }
+
+    /// Upstream `_expand_number`: years 1000..<3000 use pair reading.
+    private static func expandNumber(_ num: Int) -> String {
+        if num > 1000 && num < 3000 {
+            if num == 2000 { return " two thousand " }
+            if num > 2000 && num < 2010 {
+                return " two thousand \(cardinalWords(num % 100)) "
+            }
+            if num % 100 == 0 {
+                return " \(cardinalWords(num / 100)) hundred "
+            }
+            // inflect group=2, zero='oh', comma replaced by space
+            let high = num / 100
+            let low = num % 100
+            let lowWords = low < 10 ? "oh \(cardinalWords(low))" : cardinalWords(low)
+            return " \(cardinalWords(high)) \(lowWords) "
+        }
+        return " \(cardinalWords(num)) "
+    }
+
+    // MARK: - inflect-parity spelling
+
+    private static let ones = [
+        "zero", "one", "two", "three", "four", "five", "six", "seven",
+        "eight", "nine", "ten", "eleven", "twelve", "thirteen", "fourteen",
+        "fifteen", "sixteen", "seventeen", "eighteen", "nineteen",
+    ]
+    private static let tens = [
+        "", "", "twenty", "thirty", "forty", "fifty", "sixty", "seventy",
+        "eighty", "ninety",
+    ]
+    private static let scales: [(Int, String)] = [
+        (1_000_000_000_000, "trillion"), (1_000_000_000, "billion"),
+        (1_000_000, "million"), (1_000, "thousand"),
+    ]
+
+    /// `inflect.number_to_words(n, andword="")`: hyphenated tens, scale
+    /// groups joined with ", " (only between non-zero groups).
+    static func cardinalWords(_ n: Int) -> String {
+        if n < 0 { return "minus \(cardinalWords(-n))" }
+        if n < 20 { return ones[n] }
+        if n < 100 {
+            let t = tens[n / 10]
+            return n % 10 == 0 ? t : "\(t)-\(ones[n % 10])"
+        }
+        if n < 1000 {
+            let head = "\(ones[n / 100]) hundred"
+            return n % 100 == 0 ? head : "\(head) \(cardinalWords(n % 100))"
+        }
+        var remaining = n
+        var groups: [String] = []
+        for (value, name) in scales {
+            if remaining >= value {
+                groups.append("\(cardinalWords(remaining / value)) \(name)")
+                remaining %= value
+            }
+        }
+        if remaining > 0 { groups.append(cardinalWords(remaining)) }
+        return groups.joined(separator: ", ")
+    }
+
+    /// `inflect.number_to_words("42nd")` — cardinal words with the final
+    /// word ordinalized ("forty-second").
+    static func ordinalWords(_ ordinalDigits: String) -> String {
+        let digits = String(ordinalDigits.prefix(while: { $0.isNumber }))
+        guard let n = Int(digits) else { return ordinalDigits }
+        return ordinalize(cardinalWords(n))
+    }
+
+    /// Ordinalize the last word of a cardinal phrase (inflect.ordinal).
+    static func ordinalize(_ words: String) -> String {
+        let irregular: [String: String] = [
+            "one": "first", "two": "second", "three": "third",
+            "five": "fifth", "eight": "eighth", "nine": "ninth",
+            "twelve": "twelfth",
+        ]
+        // Find the last word (after the last space or hyphen).
+        var separator: Character = " "
+        var lastRange = words.startIndex..<words.endIndex
+        if let idx = words.lastIndex(where: { $0 == " " || $0 == "-" }) {
+            separator = words[idx]
+            lastRange = words.index(after: idx)..<words.endIndex
+        }
+        let last = String(words[lastRange])
+        let head =
+            lastRange.lowerBound == words.startIndex
+            ? "" : String(words[..<words.index(before: lastRange.lowerBound)])
+        let ordinal: String
+        if let irr = irregular[last] {
+            ordinal = irr
+        } else if last.hasSuffix("y") {
+            ordinal = String(last.dropLast()) + "ieth"
+        } else {
+            ordinal = last + "th"
+        }
+        return head.isEmpty ? ordinal : "\(head)\(separator)\(ordinal)"
+    }
+
+    // MARK: - Regex helpers
+
+    private static func regex(_ pattern: String, caseInsensitive: Bool = false) -> NSRegularExpression {
+        // Compile-time constant patterns; a failure is a programmer error.
+        try! NSRegularExpression(
+            pattern: pattern, options: caseInsensitive ? [.caseInsensitive] : [])
+    }
+
+    private static func replace(
+        _ re: NSRegularExpression, in text: String,
+        transform: ([String]) -> String
+    ) -> String {
+        let ns = text as NSString
+        let matches = re.matches(in: text, range: NSRange(location: 0, length: ns.length))
+        guard !matches.isEmpty else { return text }
+        let mutable = NSMutableString(string: text)
+        for match in matches.reversed() {
+            var groups: [String] = []
+            groups.reserveCapacity(match.numberOfRanges)
+            for index in 0..<match.numberOfRanges {
+                let range = match.range(at: index)
+                groups.append(range.location == NSNotFound ? "" : ns.substring(with: range))
+            }
+            mutable.replaceCharacters(in: match.range, with: transform(groups))
+        }
+        return mutable as String
+    }
+}
diff --git a/Sources/FluidAudio/TTS/LuxTts/G2p/LuxTtsG2p.swift b/Sources/FluidAudio/TTS/LuxTts/G2p/LuxTtsG2p.swift
new file mode 100644
index 000000000..b7322c041
--- /dev/null
+++ b/Sources/FluidAudio/TTS/LuxTts/G2p/LuxTtsG2p.swift
@@ -0,0 +1,767 @@
+import Foundation
+
+/// English text → espeak-IPA phonemes for LuxTTS (phase 2).
+///
+/// espeak-ng (en-us) is what the model was trained on (via piper_phonemize
+/// / EmiliaTokenizer), so this G2P reproduces espeak's *clause-level*
+/// behavior from an offline-harvested lexicon instead of bundling espeak:
+///
+///   * per-word pronunciation variants probed from espeak in six carrier
+///     contexts (mid / clause-final / before-only-unstressed ($strend2) /
+///     before-vowel / before-$pause-word / clause-initial), stored sparsely
+///     in `luxtts_en_us_lexicon.tsv.zz` (139k words, raw-DEFLATE)
+///   * multi-word merge entries ("in the" -> ɪnðə, "did not" -> dɪdnˌɑːt)
+///   * homograph verb/noun/past selection driven by espeak's
+///     expect_verb/noun/past counters ($verbf/$nounf/$pastf words)
+///   * position-dependent $pause behavior (liaison/flapping blocking)
+///   * punctuation semantics (",;:" emit + space, ".!?" emit + no space,
+///     "…" silent break, quotes = pause boundary, mid-token "." = "dot")
+///
+/// The algorithm mirrors `mobius/models/tts/zipvoice/coreml/g2p/
+/// reference_g2p.py`, which is score-gated against the espeak oracle
+/// (1,000-sentence corpus: 99.6% sentence exact match, 0.01% token edit
+/// rate — see Documentation/TTS/LuxTts.md).
+public struct LuxTtsG2p: Sendable {
+
+    // MARK: - Data
+
+    /// Sparse variant row; `nil` means "same as mid".
+    struct Row: Sendable {
+        let mid: String
+        let final: String?
+        let unstr: String?
+        let vowel: String?
+        let pause: String?
+        let start: String?
+        let rvar: String?
+    }
+
+    struct PhraseEntry: Sendable {
+        let mid: String?
+        let midcap: String?
+        let final: String?
+        let vowel: String?
+        let start: String?
+        let startcap: String?
+        let rvar: String?
+        let atEndOnly: Bool
+        let flagWords: [String]  // constituent words, for counter updates
+
+        var usableMidVariant: Bool {
+            mid != nil || midcap != nil || vowel != nil || rvar != nil
+        }
+    }
+
+    let entries: [String: Row]
+    let phrases: [String: PhraseEntry]
+    let maxPhraseLength: Int
+    let homographs: [String: [String: String]]
+    let verbf: Set<String>
+    let verbsf: Set<String>
+    let nounf: Set<String>
+    let pastf: Set<String>
+    let verbextend: Set<String>
+    let pauseWords: Set<String>
+    let allcapsWords: Set<String>
+    let letters: [String: String]
+
+    private static let clausePunct = Set(",.!?;:")
+    private static let vowelScalars = Set("aeiouæɑɐɔəɛɜɪʊʌʉɒɚᵻ")
+    private static let stressMarks = Set("ˈˌ")
+    private static let voiceless = Set("ptkfθsʃ")
+    private static let sibilant = Set("szʃʒ")
+
+    // MARK: - Loading
+
+    /// Load the bundled lexicon + aux tables.
+    public init() throws {
+        guard
+            let lexiconURL = Bundle.module.url(
+                forResource: "luxtts_en_us_lexicon.tsv", withExtension: "zz",
+                subdirectory: "Resources"),
+            let auxURL = Bundle.module.url(
+                forResource: "luxtts_en_us_g2p_aux", withExtension: "json",
+                subdirectory: "Resources")
+        else {
+            throw LuxTtsError.tokenizerFailed("bundled G2P resources missing")
+        }
+        try self.init(lexiconURL: lexiconURL, auxURL: auxURL)
+    }
+
+    init(lexiconURL: URL, auxURL: URL) throws {
+        let compressed = try Data(contentsOf: lexiconURL)
+        let tsvData: Data
+        do {
+            tsvData = try (compressed as NSData).decompressed(using: .zlib) as Data
+        } catch {
+            throw LuxTtsError.tokenizerFailed(
+                "cannot decompress lexicon: \(error.localizedDescription)")
+        }
+        guard let tsv = String(data: tsvData, encoding: .utf8) else {
+            throw LuxTtsError.tokenizerFailed("lexicon is not UTF-8")
+        }
+
+        var entries: [String: Row] = [:]
+        entries.reserveCapacity(140_000)
+        for line in tsv.split(separator: "\n", omittingEmptySubsequences: true) {
+            let cols = line.split(separator: "\t", omittingEmptySubsequences: false)
+                .map(String.init)
+            guard cols.count >= 2 else { continue }
+            func col(_ i: Int) -> String? {
+                i < cols.count && !cols[i].isEmpty ? cols[i] : nil
+            }
+            entries[cols[0]] = Row(
+                mid: cols[1], final: col(2), unstr: col(3), vowel: col(4),
+                pause: col(5), start: col(6), rvar: col(7))
+        }
+        self.entries = entries
+
+        let auxData = try Data(contentsOf: auxURL)
+        guard
+            let aux = try JSONSerialization.jsonObject(with: auxData) as? [String: Any],
+            let phrasesJson = aux["phrases"] as? [String: [String: Any]],
+            let homographsJson = aux["homographs"] as? [String: [String: String]],
+            let flagSets = aux["flag_sets"] as? [String: [String]],
+            let letters = aux["letters"] as? [String: String]
+        else {
+            throw LuxTtsError.tokenizerFailed("malformed G2P aux JSON")
+        }
+
+        var phrases: [String: PhraseEntry] = [:]
+        var maxLen = 1
+        for (key, value) in phrasesJson {
+            let flags = value["flags"] as? [String] ?? []
+            phrases[key] = PhraseEntry(
+                mid: value["mid"] as? String,
+                midcap: value["midcap"] as? String,
+                final: value["final"] as? String,
+                vowel: value["vowel"] as? String,
+                start: value["start"] as? String,
+                startcap: value["startcap"] as? String,
+                rvar: value["r"] as? String,
+                atEndOnly: flags.contains("$atend"),
+                flagWords: key.split(separator: " ").map(String.init))
+            maxLen = max(maxLen, key.split(separator: " ").count)
+        }
+        self.phrases = phrases
+        self.maxPhraseLength = maxLen
+        self.homographs = homographsJson
+        self.verbf = Set(flagSets["verbf"] ?? [])
+        self.verbsf = Set(flagSets["verbsf"] ?? [])
+        self.nounf = Set(flagSets["nounf"] ?? [])
+        self.pastf = Set(flagSets["pastf"] ?? [])
+        self.verbextend = Set(flagSets["verbextend"] ?? [])
+        self.pauseWords = Set(flagSets["pause"] ?? []).union(Set(flagSets["brk"] ?? []))
+        self.allcapsWords = Set(flagSets["allcaps"] ?? [])
+            .subtracting(Set(flagSets["abbrev"] ?? []))
+        self.letters = letters
+    }
+
+    // MARK: - Public API
+
+    /// English text → espeak-IPA phoneme string (the `tokens.txt` scalar
+    /// set). Includes the upstream ZipVoice text normalization.
+    public func phonemize(text: String) -> String {
+        phonemizeNormalized(LuxTtsEnglishNormalizer.normalize(text))
+    }
+
+    // MARK: - Tokenization
+
+    private enum Item {
+        case word(String)
+        case hyph([String])
+        case literal(String)
+    }
+
+    private struct RawToken {
+        let text: String  // word, digit run, or single punctuation scalar
+        let start: Int  // scalar offset
+        let end: Int
+        var isWordish: Bool {
+            let c = text.unicodeScalars.first!
+            return CharacterSet.letters.contains(c) || CharacterSet.decimalDigits.contains(c)
+        }
+    }
+
+    private func rawTokens(_ text: String) -> [RawToken] {
+        var tokens: [RawToken] = []
+        let scalars = Array(text.unicodeScalars)
+        var i = 0
+        while i < scalars.count {
+            let c = scalars[i]
+            if CharacterSet.whitespacesAndNewlines.contains(c) {
+                i += 1
+                continue
+            }
+            let start = i
+            if CharacterSet.letters.contains(c), c.isASCII {
+                i += 1
+                while i < scalars.count,
+                    (CharacterSet.letters.contains(scalars[i]) && scalars[i].isASCII)
+                        || scalars[i] == "'"
+                {
+                    i += 1
+                }
+            } else if CharacterSet.decimalDigits.contains(c) {
+                i += 1
+                while i < scalars.count, CharacterSet.decimalDigits.contains(scalars[i]) {
+                    i += 1
+                }
+            } else {
+                i += 1
+            }
+            tokens.append(
+                RawToken(
+                    text: String(String.UnicodeScalarView(scalars[start..<i])),
+                    start: start, end: i))
+        }
+        return tokens
+    }
+
+    // MARK: - Sentence assembly
+
+    func phonemizeNormalized(_ normalized: String) -> String {
+        let raw = rawTokens(normalized)
+
+        // hyphen chains: word(-word)+ with no spaces
+        var tokens: [(item: Item?, punct: String?, start: Int, end: Int)] = []
+        var i = 0
+        while i < raw.count {
+            let tok = raw[i]
+            if tok.isWordish, isAlphaStart(tok.text),
+                i + 2 < raw.count, raw[i + 1].text == "-",
+                raw[i + 1].start == tok.end, raw[i + 2].start == raw[i + 1].end,
+                isAlphaStart(raw[i + 2].text)
+            {
+                var parts = [tok.text]
+                var j = i + 1
+                var lastEnd = tok.end
+                while j + 1 < raw.count, raw[j].text == "-", raw[j].start == lastEnd,
+                    isAlphaStart(raw[j + 1].text), raw[j + 1].start == raw[j].end
+                {
+                    parts.append(raw[j + 1].text)
+                    lastEnd = raw[j + 1].end
+                    j += 2
+                }
+                tokens.append((.hyph(parts), nil, tok.start, lastEnd))
+                i = j
+                continue
+            }
+            if tok.isWordish {
+                tokens.append((.word(tok.text), nil, tok.start, tok.end))
+            } else {
+                tokens.append((nil, tok.text, tok.start, tok.end))
+            }
+            i += 1
+        }
+
+        var pieces: [String] = []
+        var clause: [Item] = []
+        var breaks: [Bool] = []
+        var clauseInitial = true
+        var pendingBreak = false
+
+        func flush() {
+            defer {
+                clause.removeAll()
+                breaks.removeAll()
+                pendingBreak = false
+            }
+            guard !clause.isEmpty else { return }
+            let chunks = phonemizeClause(
+                items: clause, clauseInitial: clauseInitial, breakBefore: breaks)
+            let phon = chunks.filter { !$0.isEmpty }.joined(separator: " ")
+            if !phon.isEmpty { pieces.append(phon) }
+        }
+
+        for (idx, entry) in tokens.enumerated() {
+            if let item = entry.item {
+                clause.append(item)
+                breaks.append(pendingBreak)
+                pendingBreak = false
+                continue
+            }
+            guard var ch = entry.punct else { continue }
+            if ch == "—" || ch == "–" { ch = ";" }
+
+            let prevGlued = idx > 0 && tokens[idx - 1].end == entry.start
+            let nextGlued = idx + 1 < tokens.count && tokens[idx + 1].start == entry.end
+            let midToken = prevGlued && nextGlued
+
+            if Self.clausePunct.contains(Character(ch)) || ch == "…" {
+                if midToken {
+                    // espeak reads glued "." as "dot", "!" as "exclamation";
+                    // "," is dropped; "?" becomes a silent join
+                    switch ch {
+                    case ".":
+                        clause.append(.literal("dˈɑːt"))
+                        breaks.append(false)
+                        continue
+                    case "!":
+                        clause.append(.literal("ˈɛkskləmˌeɪʃən"))
+                        breaks.append(false)
+                        continue
+                    case ",":
+                        continue
+                    case "?":
+                        flush()
+                        clauseInitial = true
+                        continue
+                    default:
+                        break
+                    }
+                }
+                flush()
+                if ch != "…" {
+                    pieces.append(ch)
+                    if ",;:".contains(ch) { pieces.append(" ") }
+                }
+                clauseInitial = true
+            } else if "\"'()[]«»".contains(ch) {
+                // quotes/parens: transparent, but a pause boundary
+                if !clause.isEmpty { pendingBreak = true }
+            }
+            // dashes/other symbols: transparent
+        }
+        flush()
+
+        var text = pieces.joined()
+        while text.contains("  ") {
+            text = text.replacingOccurrences(of: "  ", with: " ")
+        }
+        return text.trimmingCharacters(in: .whitespaces)
+    }
+
+    private func isAlphaStart(_ s: String) -> Bool {
+        guard let c = s.unicodeScalars.first else { return false }
+        return CharacterSet.letters.contains(c)
+    }
+
+    // MARK: - Clause translation
+
+    private enum UnitKind {
+        case word
+        case hyph
+        case literal
+        case phrase(PhraseEntry)
+    }
+
+    private func phonemizeClause(
+        items: [Item], clauseInitial: Bool, breakBefore: [Bool]
+    ) -> [String] {
+        let n = items.count
+        guard n > 0 else { return [] }
+
+        // unit segmentation: greedy phrase match over consecutive words,
+        // consumed only when usable at its position
+        var units: [(kind: UnitKind, start: Int, length: Int)] = []
+        var i = 0
+        while i < n {
+            switch items[i] {
+            case .hyph:
+                units.append((.hyph, i, 1))
+                i += 1
+                continue
+            case .literal:
+                units.append((.literal, i, 1))
+                i += 1
+                continue
+            case .word:
+                break
+            }
+            var matched: (PhraseEntry, Int)? = nil
+            let maxLen = min(maxPhraseLength, n - i)
+            if maxLen >= 2 {
+                for length in stride(from: maxLen, through: 2, by: -1) {
+                    var words: [String] = []
+                    var ok = true
+                    for k in i..<(i + length) {
+                        guard case .word(let w) = items[k] else {
+                            ok = false
+                            break
+                        }
+                        if k > i && breakBefore[k] {
+                            ok = false
+                            break
+                        }
+                        words.append(w.lowercased())
+                    }
+                    guard ok, let entry = phrases[words.joined(separator: " ")] else { continue }
+                    let atEnd = i + length == n
+                    let usable =
+                        entry.usableMidVariant
+                        || (atEnd && entry.final != nil)
+                        || (clauseInitial && i == 0
+                            && (entry.start != nil || entry.startcap != nil))
+                    let atEndSatisfied = !entry.atEndOnly || atEnd || entry.usableMidVariant
+                    if usable && atEndSatisfied {
+                        matched = (entry, length)
+                        break
+                    }
+                }
+            }
+            if let (entry, length) = matched {
+                units.append((.phrase(entry), i, length))
+                i += length
+            } else {
+                units.append((.word, i, 1))
+                i += 1
+            }
+        }
+
+        // pass 1 (left to right): homograph counters + $pause application
+        var flags = [String?](repeating: nil, count: units.count)
+        var pauseApplied = [Bool](repeating: false, count: units.count)
+        var counters = Counters()
+        var wordPos = 0
+        for (u, unit) in units.enumerated() {
+            if breakBefore[unit.start] { wordPos = 0 }
+            if case .word = unit.kind, case .word(let token) = items[unit.start] {
+                flags[u] = counters.homographKey(token: token)
+                if pauseWords.contains(token.lowercased()), wordPos >= 2,
+                    unit.start != n - 1
+                {
+                    pauseApplied[u] = true
+                    wordPos = 0  // the pause word restarts the count as word 0
+                }
+            }
+            for k in unit.start..<(unit.start + unit.length) {
+                if case .word(let w) = items[k] {
+                    updateCounters(&counters, token: w)
+                }
+                if !pauseApplied[u] { wordPos += 1 }
+            }
+        }
+
+        // pass 2 (right to left): variant selection ($strend2 chains
+        // resolve on the *selected* stress states of following words)
+        var chunks = [String](repeating: "", count: units.count)
+        var stressedAfter = false
+        var nextFirstPhone: Character? = nil
+        var nextIsBreak = false
+
+        for u in stride(from: units.count - 1, through: 0, by: -1) {
+            let unit = units[u]
+            let atEnd = unit.start + unit.length == n
+            let atStart = clauseInitial && unit.start == 0
+            let chunk: String
+            switch unit.kind {
+            case .phrase(let entry):
+                var tokens: [String] = []
+                for k in unit.start..<(unit.start + unit.length) {
+                    if case .word(let w) = items[k] { tokens.append(w) }
+                }
+                chunk = selectPhrase(
+                    entry, tokens: tokens, atEnd: atEnd, atStart: atStart,
+                    nextFirstPhone: nextFirstPhone, nextIsBreak: nextIsBreak)
+            case .hyph:
+                guard case .hyph(let parts) = items[unit.start] else { continue }
+                chunk = selectHyph(
+                    parts, flag: flags[u], atEnd: atEnd, atStart: atStart,
+                    nextFirstPhone: nextFirstPhone, nextIsBreak: nextIsBreak,
+                    stressedAfter: stressedAfter)
+            case .literal:
+                guard case .literal(let pron) = items[unit.start] else { continue }
+                chunk = pron
+            case .word:
+                guard case .word(let token) = items[unit.start] else { continue }
+                chunk = selectWord(
+                    token, flag: flags[u], atEnd: atEnd, atStart: atStart,
+                    nextFirstPhone: nextFirstPhone, nextIsBreak: nextIsBreak,
+                    stressedAfter: stressedAfter)
+            }
+            chunks[u] = chunk
+            if chunk.contains("ˈ") { stressedAfter = true }
+            nextFirstPhone = firstPhone(chunk)
+            nextIsBreak = pauseApplied[u] || breakBefore[unit.start]
+        }
+        return chunks
+    }
+
+    // MARK: - espeak expect_verb/noun/past counters (translateword.c)
+
+    private struct Counters {
+        var verb = 0
+        var verbS = 0
+        var noun = 0
+        var past = 0
+
+        func homographKey(token: String) -> String? {
+            if verb > 0 || (verbS > 0 && token.lowercased().hasSuffix("s")) {
+                return "verb"
+            }
+            if past > 0 { return "past" }
+            if noun > 0 { return "noun" }
+            return nil
+        }
+    }
+
+    private static let contractionBase: [String: String] = [
+        "won't": "will", "can't": "can", "shan't": "shall",
+    ]
+
+    /// The word whose espeak flags drive the counters; n't/'ll/'ve/'s
+    /// contractions inherit the auxiliary's flags (doesn't -> does).
+    private func flagWord(for token: String) -> String? {
+        let lower = token.lowercased().replacingOccurrences(of: "’", with: "'")
+        if lower == "i" && token != "I" {
+            return nil  // lowercase i is the letter, not the pronoun
+        }
+        if let base = Self.contractionBase[lower] { return base }
+        if lower.hasSuffix("n't") { return String(lower.dropLast(3)) }
+        if lower.hasSuffix("'ll") { return "will" }
+        if lower.hasSuffix("'ve") { return "have" }
+        if lower.hasSuffix("'s") { return "is" }
+        return lower
+    }
+
+    private func updateCounters(_ counters: inout Counters, token: String) {
+        let word = flagWord(for: token)
+        if let word {
+            if pastf.contains(word) {
+                counters.past = 3
+                counters.verb = 0
+                counters.noun = 0
+            } else if verbf.contains(word) {
+                counters.verb = 2
+                counters.verbS = 0
+                counters.noun = 0
+            } else if verbsf.contains(word) {
+                counters.verb = 0
+                counters.verbS = 2
+                counters.past = 0
+                counters.noun = 0
+            } else if nounf.contains(word) {
+                counters.noun = 2
+                counters.verb = 0
+                counters.verbS = 0
+                counters.past = 0
+            }
+        }
+        if word == nil || !verbextend.contains(word!) {
+            if counters.verb > 0 { counters.verb -= 1 }
+            if counters.verbS > 0 { counters.verbS -= 1 }
+            if counters.noun > 0 { counters.noun -= 1 }
+            if counters.past > 0 { counters.past -= 1 }
+        }
+    }
+
+    // MARK: - Variant selection
+
+    /// Case-sensitive row first (I vs i, Polish vs polish), then lower-case.
+    func lookup(_ word: String) -> Row? {
+        let normalized = word.replacingOccurrences(of: "’", with: "'")
+        return entries[normalized] ?? entries[normalized.lowercased()]
+    }
+
+    private func firstPhone(_ pron: String) -> Character? {
+        pron.first { !Self.stressMarks.contains($0) }
+    }
+
+    private func selectWord(
+        _ token: String, flag: String?, atEnd: Bool, atStart: Bool,
+        nextFirstPhone: Character?, nextIsBreak: Bool, stressedAfter: Bool
+    ) -> String {
+        // all-caps tokens spell out unless espeak marks them $allcaps words
+        if token.count >= 2, token == token.uppercased(),
+            token.allSatisfy({ $0.isLetter }),
+            !allcapsWords.contains(token.lowercased())
+        {
+            return spellLetters(token)
+        }
+
+        if let flag, let variants = homographs[token.lowercased()],
+            let form = variants[flag]
+        {
+            return form
+        }
+
+        guard let row = lookup(token) else { return oovPron(token) }
+
+        if atEnd { return row.final ?? row.mid }
+
+        let nextIsVowel = nextFirstPhone.map { Self.vowelScalars.contains($0) } ?? false
+
+        if let unstr = row.unstr, !stressedAfter, !nextIsBreak {
+            // liaison/flap still applies on top of the $strend2 form
+            var selected = unstr
+            if let vowel = row.vowel, nextIsVowel, let last = row.mid.last {
+                if vowel == row.mid + "ɹ", selected.hasSuffix(String(last)) {
+                    selected += "ɹ"
+                } else if vowel == String(row.mid.dropLast()) + "ɾ",
+                    selected.hasSuffix(String(last))
+                {
+                    selected = String(selected.dropLast()) + "ɾ"
+                }
+            }
+            return selected
+        }
+        if nextIsBreak { return row.pause ?? row.mid }
+        if nextFirstPhone == "ɹ", let rvar = row.rvar { return rvar }
+        if nextIsVowel, let vowel = row.vowel { return vowel }
+        if atStart, let start = row.start { return start }
+        return row.mid
+    }
+
+    private func selectPhrase(
+        _ entry: PhraseEntry, tokens: [String], atEnd: Bool, atStart: Bool,
+        nextFirstPhone: Character?, nextIsBreak: Bool
+    ) -> String {
+        let capitalized = tokens.first?.first?.isUppercase ?? false
+        if atStart, capitalized, let startcap = entry.startcap { return startcap }
+        if atStart, let start = entry.start { return start }
+        if atEnd, let final = entry.final { return final }
+        let nextIsVowel = nextFirstPhone.map { Self.vowelScalars.contains($0) } ?? false
+        if !atEnd, !nextIsBreak {
+            if nextFirstPhone == "ɹ", let rvar = entry.rvar { return rvar }
+            if nextIsVowel, let vowel = entry.vowel { return vowel }
+        }
+        if capitalized, !atEnd, let midcap = entry.midcap { return midcap }
+        if !atEnd, let mid = entry.mid { return mid }
+        // fall back to word-by-word composition
+        var chunks: [String] = []
+        for (index, word) in tokens.enumerated() {
+            guard let row = lookup(word) else {
+                chunks.append(oovPron(word))
+                continue
+            }
+            if index == tokens.count - 1 && atEnd {
+                chunks.append(row.final ?? row.mid)
+            } else {
+                chunks.append(row.mid)
+            }
+        }
+        return chunks.joined(separator: " ")
+    }
+
+    /// Hyphen chain: whole-token row if probed (twenty-six), else parts
+    /// pronounced separately and concatenated without a space.
+    private func selectHyph(
+        _ parts: [String], flag: String?, atEnd: Bool, atStart: Bool,
+        nextFirstPhone: Character?, nextIsBreak: Bool, stressedAfter: Bool
+    ) -> String {
+        let key = parts.joined(separator: "-")
+        if lookup(key) != nil {
+            return selectWord(
+                key, flag: flag, atEnd: atEnd, atStart: atStart,
+                nextFirstPhone: nextFirstPhone, nextIsBreak: nextIsBreak,
+                stressedAfter: stressedAfter)
+        }
+        var out: [String] = []
+        for (index, part) in parts.enumerated() {
+            if index == parts.count - 1 {
+                out.append(
+                    selectWord(
+                        part, flag: nil, atEnd: atEnd, atStart: false,
+                        nextFirstPhone: nextFirstPhone, nextIsBreak: nextIsBreak,
+                        stressedAfter: stressedAfter))
+            } else if let row = lookup(part) {
+                out.append(row.mid)
+            } else {
+                out.append(oovPron(part))
+            }
+        }
+        return out.joined()
+    }
+
+    // MARK: - Fallbacks
+
+    private func spellLetters(_ word: String) -> String {
+        let letters = word.lowercased().filter { $0.isLetter }
+        var out = ""
+        for (index, letter) in letters.enumerated() {
+            let name = self.letters[String(letter)] ?? ""
+            let mark = index == letters.count - 1 ? "ˈ" : "ˌ"
+            out += letterNameWithStress(name, mark: mark)
+        }
+        return out
+    }
+
+    private func letterNameWithStress(_ name: String, mark: String) -> String {
+        let stripped = name.filter { !Self.stressMarks.contains($0) }
+        if let index = stripped.firstIndex(where: { Self.vowelScalars.contains($0) }) {
+            return String(stripped[..<index]) + mark + String(stripped[index...])
+        }
+        return mark + stripped
+    }
+
+    private func suffixS(_ mid: String) -> String {
+        guard let last = mid.last else { return mid }
+        if Self.sibilant.contains(last) { return mid + "ɪz" }
+        if Self.voiceless.contains(last) { return mid + "s" }
+        return mid + "z"
+    }
+
+    func oovPron(_ word: String) -> String {
+        let lower = word.lowercased().replacingOccurrences(of: "’", with: "'")
+        for suffix in ["'s", "s'"] where lower.hasSuffix(suffix) {
+            if let base = lookup(String(lower.dropLast(suffix.count))) {
+                return suffixS(base.mid)
+            }
+        }
+        if lower.hasSuffix("s"), let base = lookup(String(lower.dropLast())) {
+            return suffixS(base.mid)
+        }
+        if word.count >= 2, word == word.uppercased(), !word.contains("'") {
+            return spellLetters(word)
+        }
+        // camelCase: split at case boundaries, parts space-joined,
+        // single letters spoken as letter names (iPhone -> ˈaɪ fˈoʊn)
+        let parts = camelParts(word)
+        if parts.count > 1 {
+            var out: [String] = []
+            for part in parts {
+                if part.count == 1, part.first!.isLetter {
+                    out.append(
+                        letterNameWithStress(
+                            letters[part.lowercased()] ?? "", mark: "ˈ"))
+                } else if let row = lookup(part) {
+                    out.append(row.mid)
+                } else {
+                    out.append(oovPron(part))
+                }
+            }
+            return out.joined(separator: " ")
+        }
+        return spellLetters(word)
+    }
+
+    /// `[A-Z]?[a-z']+|[A-Z]+(?![a-z])` — FluidAudio -> [Fluid, Audio].
+    private func camelParts(_ word: String) -> [String] {
+        var parts: [String] = []
+        var current = ""
+        let chars = Array(word)
+        var i = 0
+        while i < chars.count {
+            let c = chars[i]
+            if c.isUppercase {
+                // uppercase run: attach the last capital to a following
+                // lowercase run (HTTPServer -> HTTP, Server)
+                var run = ""
+                while i < chars.count, chars[i].isUppercase {
+                    run.append(chars[i])
+                    i += 1
+                }
+                let nextIsLower = i < chars.count && (chars[i].isLowercase || chars[i] == "'")
+                if nextIsLower {
+                    if run.count > 1 { parts.append(String(run.dropLast())) }
+                    current = String(run.last!)
+                } else {
+                    parts.append(run)
+                    current = ""
+                }
+            } else {
+                current.append(c)
+                i += 1
+                while i < chars.count, chars[i].isLowercase || chars[i] == "'" {
+                    current.append(chars[i])
+                    i += 1
+                }
+                parts.append(current)
+                current = ""
+            }
+        }
+        if !current.isEmpty { parts.append(current) }
+        return parts.filter { !$0.isEmpty }
+    }
+}
diff --git a/Sources/FluidAudio/TTS/LuxTts/G2p/Resources/luxtts_en_us_g2p_aux.json b/Sources/FluidAudio/TTS/LuxTts/G2p/Resources/luxtts_en_us_g2p_aux.json
new file mode 100644
index 000000000..fd9250744
--- /dev/null
+++ b/Sources/FluidAudio/TTS/LuxTts/G2p/Resources/luxtts_en_us_g2p_aux.json
@@ -0,0 +1,2251 @@
+{
+ "phrases": {
+  "bon voyage": {
+   "mid": "bˌɑːn vɔɪˈɑːʒ",
+   "final": "bˌɑːn vɔɪˈɑːʒ",
+   "vowel": "bˌɑːn vɔɪˈɑːʒ",
+   "flags": []
+  },
+  "bow down": {
+   "mid": "bˌaʊ dˈaʊn",
+   "final": "bˌaʊ dˈaʊn",
+   "vowel": "bˌaʊ dˈaʊn",
+   "flags": []
+  },
+  "coup de grace": {
+   "mid": "kˌuːdə ɡɹˈɑː",
+   "final": "kˌuːdə ɡɹˈɑː",
+   "vowel": "kˌuːdə ɡɹˈɑː",
+   "flags": []
+  },
+  "cum laude": {
+   "mid": "kʊmlˈaʊdi",
+   "final": "kʊmlˈaʊdi",
+   "vowel": "kʊmlˈaʊdi",
+   "flags": []
+  },
+  "de gallo": {
+   "mid": "dəɡˈaɪoʊ",
+   "final": "dəɡˈaɪoʊ",
+   "vowel": "dəɡˈaɪoʊ",
+   "flags": []
+  },
+  "de jure": {
+   "mid": "deɪdʒˈʊɹɹi",
+   "final": "deɪdʒˈʊɹɹi",
+   "vowel": "deɪdʒˈʊɹɹi",
+   "flags": []
+  },
+  "en masse": {
+   "mid": "ɑːn mˈæs",
+   "final": "ɑːn mˈæs",
+   "vowel": "ɑːn mˈæs",
+   "flags": []
+  },
+  "en route": {
+   "mid": "ɑːn ɹˈuːt",
+   "final": "ɑːn ɹˈuːt",
+   "vowel": "ɑːn ɹˈuːt",
+   "flags": []
+  },
+  "faux pas": {
+   "mid": "fˌoʊ pˈɑː",
+   "final": "fˌoʊ pˈɑː",
+   "vowel": "fˌoʊ pˈɑː",
+   "flags": []
+  },
+  "hors d'oeuvres": {
+   "mid": "ɔːɹdˈɜːvz",
+   "final": "ɔːɹdˈɜːvz",
+   "vowel": "ɔːɹdˈɜːvz",
+   "flags": []
+  },
+  "inter alia": {
+   "mid": "ˌɪntɚɹ ˈeɪliə",
+   "final": "ˌɪntɚɹ ˈeɪliə",
+   "vowel": "ˌɪntɚɹ ˈeɪliə",
+   "flags": []
+  },
+  "je ne sais": {
+   "mid": "ʒənəsˈeɪ",
+   "final": "ʒənəsˈeɪ",
+   "vowel": "ʒənəsˈeɪ",
+   "flags": []
+  },
+  "je t'aime": {
+   "mid": "ʒətˈɛm",
+   "final": "ʒətˈɛm",
+   "vowel": "ʒətˈɛm",
+   "flags": []
+  },
+  "la vie": {
+   "mid": "læ vˈiː",
+   "final": "læ vˈiː",
+   "vowel": "læ vˈiː",
+   "flags": []
+  },
+  "live in": {
+   "mid": "lˈɪv ɪn",
+   "final": "lˈɪv ɪn",
+   "vowel": "lˈɪv ɪn",
+   "flags": []
+  },
+  "main st": {
+   "mid": "mˈeɪnstɹˌiːt",
+   "final": "mˈeɪnstɹˌiːt",
+   "vowel": "mˈeɪnstɹˌiːt",
+   "flags": []
+  },
+  "su se": {
+   "mid": "sˈuːsə",
+   "final": "sˈuːsə",
+   "vowel": "sˈuːsə",
+   "r": "sˈuːsɚ",
+   "flags": []
+  },
+  "tae kwon do": {
+   "mid": "tˈaɪkwɑːndˈoʊ",
+   "final": "tˈaɪkwɑːndˈoʊ",
+   "vowel": "tˈaɪkwɑːndˈoʊ",
+   "flags": []
+  },
+  "tai chi": {
+   "mid": "taɪtʃˈiː",
+   "final": "taɪtʃˈiː",
+   "vowel": "taɪtʃˈiː",
+   "flags": []
+  },
+  "tear apart": {
+   "mid": "tˌɛɹ ɐpˈɑːɹt",
+   "final": "tˌɛɹ ɐpˈɑːɹt",
+   "vowel": "tˌɛɹ ɐpˈɑːɹt",
+   "flags": []
+  },
+  "tear off": {
+   "mid": "tˈɛɹ ˈɑːf",
+   "final": "tˈɛɹ ˈɑːf",
+   "vowel": "tˈɛɹ ˈɑːf",
+   "flags": []
+  },
+  "van den": {
+   "mid": "vˈændɛn",
+   "final": "vˈændɛn",
+   "vowel": "vˈændɛn",
+   "flags": []
+  },
+  "van der": {
+   "mid": "vˈændɜː",
+   "final": "vˈændɜː",
+   "vowel": "vˈændɜːɹ",
+   "flags": []
+  },
+  "vis a vis": {
+   "mid": "vˌiːzɐvˈiː",
+   "final": "vˌiːzɐvˈiː",
+   "vowel": "vˌiːzɐvˈiː",
+   "flags": []
+  },
+  "wall st": {
+   "mid": "wˈɔːlstɹˌiːt",
+   "final": "wˈɔːlstɹˌiːt",
+   "vowel": "wˈɔːlstɹˌiːt",
+   "flags": []
+  },
+  "wear and tear": {
+   "mid": "wˈɛɹ ɐnd tˈɛɹ",
+   "final": "wˈɛɹ ɐnd tˈɛɹ",
+   "vowel": "wˈɛɹ ɐnd tˈɛɹ",
+   "flags": []
+  },
+  "wind up": {
+   "mid": "wˈaɪnd ˈʌp",
+   "final": "wˈaɪnd ˈʌp",
+   "vowel": "wˈaɪnd ˈʌp",
+   "flags": []
+  },
+  "winds down": {
+   "mid": "wˈaɪndz dˈaʊn",
+   "final": "wˈaɪndz dˈaʊn",
+   "vowel": "wˈaɪndz dˈaʊn",
+   "flags": []
+  },
+  "winds up": {
+   "mid": "wˈaɪndz ˈʌp",
+   "final": "wˈaɪndz ˈʌp",
+   "vowel": "wˈaɪndz ˈʌp",
+   "flags": []
+  },
+  "wound down": {
+   "mid": "wˌaʊnd dˈaʊn",
+   "final": "wˌaʊnd dˈaʊn",
+   "vowel": "wˌaʊnd dˈaʊn",
+   "flags": []
+  },
+  "wound up": {
+   "mid": "wˌaʊnd ˈʌp",
+   "final": "wˌaʊnd ˈʌp",
+   "vowel": "wˌaʊnd ˈʌp",
+   "flags": []
+  },
+  "baton rouge": {
+   "mid": "bˌætən ɹˈuːʒ",
+   "final": "bˌætən ɹˈuːʒ",
+   "vowel": "bˌætən ɹˈuːʒ",
+   "flags": []
+  },
+  "dehra dun": {
+   "mid": "dˌɛɹɐdˈuːn",
+   "final": "dˌɛɹɐdˈuːn",
+   "vowel": "dˌɛɹɐdˈuːn",
+   "flags": []
+  },
+  "des moines": {
+   "mid": "dəmˈɔɪn",
+   "final": "dəmˈɔɪn",
+   "vowel": "dəmˈɔɪn",
+   "flags": []
+  },
+  "grand saline": {
+   "mid": "ɡɹˈændsəlˈiːn",
+   "final": "ɡɹˈændsəlˈiːn",
+   "vowel": "ɡɹˈændsəlˈiːn",
+   "flags": []
+  },
+  "la jolla": {
+   "mid": "lɐhˈɔɪə",
+   "final": "lɐhˈɔɪə",
+   "vowel": "lɐhˈɔɪə",
+   "r": "lɐhˈɔɪɚ",
+   "flags": []
+  },
+  "la quinta": {
+   "mid": "ləkˈiːntə",
+   "final": "ləkˈiːntə",
+   "vowel": "ləkˈiːntə",
+   "r": "ləkˈiːntɚ",
+   "flags": []
+  },
+  "tel aviv": {
+   "mid": "tˌɛl ɐvˈiːv",
+   "final": "tˌɛl ɐvˈiːv",
+   "vowel": "tˌɛl ɐvˈiːv",
+   "flags": []
+  },
+  "le ann": {
+   "mid": "liːˈæn",
+   "final": "liːˈæn",
+   "vowel": "liːˈæn",
+   "flags": []
+  },
+  "santa claus": {
+   "mid": "sˈæntə klˈɔːz",
+   "final": "sˈæntə klˈɔːz",
+   "vowel": "sˈæntə klˈɔːz",
+   "flags": []
+  },
+  "da vinci": {
+   "mid": "dɐvˈɪntʃi",
+   "final": "dɐvˈɪntʃi",
+   "vowel": "dɐvˈɪntʃi",
+   "flags": []
+  },
+  "di maggio": {
+   "mid": "dᵻmˈɑːʒɪˌoʊ",
+   "final": "dᵻmˈɑːʒɪˌoʊ",
+   "vowel": "dᵻmˈɑːʒɪˌoʊ",
+   "flags": []
+  },
+  "mc namara": {
+   "mid": "mˌæknəmˈɑːɹɹə",
+   "final": "mˌæknəmˈɑːɹɹə",
+   "vowel": "mˌæknəmˈɑːɹɹə",
+   "r": "mˌæknəmˈɑːɹɹɚ",
+   "flags": []
+  },
+  "each of": {
+   "mid": "ˈiːtʃ əv",
+   "final": "ˈiːtʃ əv",
+   "vowel": "ˈiːtʃ əv",
+   "flags": [
+    "$pause"
+   ]
+  },
+  "far more": {
+   "mid": "fˈɑːɹmˌoːɹ",
+   "final": "fˈɑːɹmˌoːɹ",
+   "vowel": "fˈɑːɹmˌoːɹ",
+   "flags": []
+  },
+  "few more": {
+   "mid": "fjˈuːmˌoːɹ",
+   "final": "fjˈuːmˌoːɹ",
+   "vowel": "fjˈuːmˌoːɹ",
+   "flags": []
+  },
+  "here and there": {
+   "mid": "hˈɪɹ ɐnd ðˈɛɹ",
+   "final": "hˈɪɹ ɐnd ðˈɛɹ",
+   "vowel": "hˈɪɹ ɐnd ðˈɛɹ",
+   "flags": []
+  },
+  "most of": {
+   "mid": "mˈoʊst əv",
+   "final": "mˈoʊst əv",
+   "vowel": "mˈoʊst əv",
+   "flags": []
+  },
+  "such as": {
+   "mid": "sˈʌtʃ ɐz",
+   "final": "sˈʌtʃ ɐz",
+   "vowel": "sˈʌtʃ ɐz",
+   "flags": [
+    "$pause"
+   ]
+  },
+  "too few": {
+   "mid": "tˈuː fjuː",
+   "final": "tˈuː fjuː",
+   "vowel": "tˈuː fjuː",
+   "flags": []
+  },
+  "too many": {
+   "mid": "tˈuː mɛni",
+   "final": "tˈuː mɛni",
+   "vowel": "tˈuː mɛni",
+   "flags": []
+  },
+  "too much": {
+   "mid": "tˈuː mʌtʃ",
+   "final": "tˈuː mʌtʃ",
+   "vowel": "tˈuː mʌtʃ",
+   "flags": []
+  },
+  "no one": {
+   "mid": "nˈoʊwˈʌn",
+   "final": "nˈoʊwˈʌn",
+   "vowel": "nˈoʊwˈʌn",
+   "flags": []
+  },
+  "no longer": {
+   "mid": "nˌoʊ lˈɑːŋɡɚ",
+   "final": "nˌoʊ lˈɑːŋɡɚ",
+   "vowel": "nˌoʊ lˈɑːŋɡɚɹ",
+   "flags": []
+  },
+  "no more": {
+   "mid": "nˈoʊmˌoːɹ",
+   "final": "nˈoʊmˌoːɹ",
+   "vowel": "nˈoʊmˌoːɹ",
+   "flags": []
+  },
+  "so far": {
+   "mid": "sˈoʊ fˌɑːɹ",
+   "final": "sˈoʊ fˌɑːɹ",
+   "vowel": "sˈoʊ fˌɑːɹ",
+   "flags": [
+    "$strend2"
+   ]
+  },
+  "so much": {
+   "mid": "sˈoʊ mˌʌtʃ",
+   "final": "sˈoʊ mˌʌtʃ",
+   "vowel": "sˈoʊ mˌʌtʃ",
+   "flags": []
+  },
+  "of a": {
+   "mid": "əvə",
+   "final": "əvə",
+   "vowel": "əvə",
+   "r": "əvɚ",
+   "flags": [
+    "$nounf"
+   ]
+  },
+  "of an": {
+   "mid": "əvən",
+   "final": "əvən",
+   "vowel": "əvən",
+   "flags": [
+    "$nounf"
+   ]
+  },
+  "of which": {
+   "mid": "ʌvwˈɪtʃ",
+   "final": "ʌvwˈɪtʃ",
+   "vowel": "ʌvwˈɪtʃ",
+   "flags": [
+    "$2",
+    "$pause"
+   ]
+  },
+  "of the": {
+   "mid": "ʌvðə",
+   "final": "ʌvðə",
+   "vowel": "ʌvðɪ",
+   "flags": [
+    "$nounf"
+   ]
+  },
+  "for a": {
+   "mid": "fɚɹə",
+   "final": "fɚɹə",
+   "vowel": "fɚɹə",
+   "r": "fɚɹɚ",
+   "flags": [
+    "$nounf"
+   ]
+  },
+  "for an": {
+   "mid": "fɚɹən",
+   "final": "fɚɹən",
+   "vowel": "fɚɹən",
+   "flags": [
+    "$nounf"
+   ]
+  },
+  "for the": {
+   "mid": "fɚðə",
+   "final": "fɚðə",
+   "vowel": "fɚðɪ",
+   "flags": [
+    "$nounf"
+   ]
+  },
+  "for a while": {
+   "mid": "fɚɹə wˈaɪl",
+   "final": "fɚɹə wˈaɪl",
+   "vowel": "fɚɹə wˈaɪl",
+   "flags": []
+  },
+  "for one": {
+   "final": "fɔːɹwˈʌn",
+   "flags": [
+    "$2",
+    "$atend"
+   ]
+  },
+  "to be": {
+   "mid": "təbi",
+   "vowel": "təbi",
+   "flags": [
+    "$atend",
+    "$pastf"
+   ]
+  },
+  "to to": {
+   "mid": "tʊtə",
+   "final": "tʊtʊ",
+   "vowel": "tʊtʊ",
+   "flags": [
+    "$verbf"
+   ]
+  },
+  "to and fro": {
+   "mid": "tˌuːəndfɹˈoʊ",
+   "final": "tˌuːəndfɹˈoʊ",
+   "vowel": "tˌuːəndfɹˈoʊ",
+   "flags": []
+  },
+  "at a": {
+   "mid": "æɾə",
+   "final": "æɾə",
+   "vowel": "æɾə",
+   "r": "æɾɚ",
+   "flags": [
+    "$nounf"
+   ]
+  },
+  "at it": {
+   "mid": "æɾ ɪt",
+   "final": "ˈæɾɪt",
+   "vowel": "æɾ ɪɾ",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "at once": {
+   "mid": "ɐtwˈʌns",
+   "final": "ɐtwˈʌns",
+   "vowel": "ɐtwˈʌns",
+   "flags": []
+  },
+  "at will": {
+   "mid": "ɐtwˈɪl",
+   "final": "ɐtwˈɪl",
+   "vowel": "ɐtwˈɪl",
+   "flags": []
+  },
+  "with the": {
+   "mid": "wɪððə",
+   "final": "wɪððə",
+   "vowel": "wɪððɪ",
+   "flags": [
+    "$nounf"
+   ]
+  },
+  "in the": {
+   "mid": "ɪnðə",
+   "final": "ɪnðə",
+   "vowel": "ɪnðɪ",
+   "flags": []
+  },
+  "in which": {
+   "mid": "ɪnwˌɪtʃ",
+   "final": "ɪnwˌɪtʃ",
+   "vowel": "ɪnwˌɪtʃ",
+   "flags": [
+    "$pause",
+    "$u2"
+   ]
+  },
+  "in a row": {
+   "mid": "ˌɪnɐ ɹˈoʊ",
+   "final": "ˌɪnɐ ɹˈoʊ",
+   "vowel": "ˌɪnɐ ɹˈoʊ",
+   "flags": []
+  },
+  "on the": {
+   "mid": "ɔnðə",
+   "final": "ɔnðə",
+   "vowel": "ɔnðɪ",
+   "flags": []
+  },
+  "out of": {
+   "mid": "ˌaʊɾəv",
+   "final": "ˌaʊɾəv",
+   "vowel": "ˌaʊɾəv",
+   "flags": []
+  },
+  "from the": {
+   "mid": "fɹʌmðə",
+   "final": "fɹʌmðə",
+   "vowel": "fɹʌmðɪ",
+   "flags": []
+  },
+  "from where": {
+   "mid": "fɹʌm wˈɛɹ",
+   "vowel": "fɹʌm wˈɛɹ",
+   "flags": [
+    "$pause"
+   ]
+  },
+  "from which": {
+   "mid": "fɹʌm wˈɪtʃ",
+   "vowel": "fɹʌm wˈɪtʃ",
+   "flags": [
+    "$pause"
+   ]
+  },
+  "per cent": {
+   "mid": "pɚ sˈɛnt",
+   "final": "pɚ sˈɛnt",
+   "vowel": "pɚ sˈɛnt",
+   "flags": []
+  },
+  "per se": {
+   "mid": "pˌɜː sˈeɪ",
+   "final": "pˌɜː sˈeɪ",
+   "vowel": "pˌɜː sˈeɪ",
+   "flags": []
+  },
+  "was a": {
+   "mid": "wʌzɐ",
+   "final": "wʌzɐ",
+   "vowel": "wʌzɐ",
+   "flags": []
+  },
+  "was the": {
+   "mid": "wʌzðə",
+   "final": "wʌzðə",
+   "vowel": "wʌzðɪ",
+   "flags": []
+  },
+  "will to": {
+   "mid": "wˈɪltə",
+   "final": "wˈɪltʊ",
+   "vowel": "wˈɪltʊ",
+   "flags": []
+  },
+  "would have": {
+   "mid": "wʊdhɐv",
+   "final": "wˈʊdhæv",
+   "vowel": "wʊdhɐv",
+   "flags": [
+    "$atend",
+    "$pastf"
+   ]
+  },
+  "would have to": {
+   "mid": "wʊdhˌævtə",
+   "final": "wʊdhˈævtʊ",
+   "vowel": "wʊdhˌævtʊ",
+   "flags": [
+    "$strend2",
+    "$u2",
+    "$verbf"
+   ]
+  },
+  "wouldn't have": {
+   "mid": "wˌʊdəntəv",
+   "final": "wˈʊdəntəv",
+   "vowel": "wˌʊdəntəv",
+   "flags": [
+    "$pastf",
+    "$strend2",
+    "$u1"
+   ]
+  },
+  "wouldn't have to": {
+   "mid": "wˌʊdəntævtə",
+   "final": "wˈʊdəntævtʊ",
+   "vowel": "wˌʊdəntævtʊ",
+   "flags": [
+    "$strend2",
+    "$verbf"
+   ]
+  },
+  "won't have": {
+   "mid": "wˌoʊntɐv",
+   "final": "wˈoʊnthæv",
+   "vowel": "wˌoʊntɐv",
+   "flags": [
+    "$atend",
+    "$pastf",
+    "$u1"
+   ]
+  },
+  "won't have it": {
+   "mid": "woʊnthˌævɪt",
+   "final": "woʊnthˈævɪt",
+   "vowel": "woʊnthˌævɪt",
+   "flags": [
+    "$u2+"
+   ]
+  },
+  "won't have to": {
+   "mid": "wˈoʊntævtə",
+   "final": "wˈoʊntævtʊ",
+   "vowel": "wˈoʊntævtʊ",
+   "flags": [
+    "$strend2",
+    "$verbf"
+   ]
+  },
+  "must have": {
+   "mid": "mˈʌstɐv",
+   "final": "mˈʌsthæv",
+   "vowel": "mˈʌstɐv",
+   "flags": [
+    "$1",
+    "$atend",
+    "$pastf"
+   ]
+  },
+  "must have to": {
+   "mid": "mˌʌstævtə",
+   "final": "mˌʌstævtʊ",
+   "vowel": "mˌʌstævtʊ",
+   "flags": [
+    "$pastf"
+   ]
+  },
+  "mustn't have": {
+   "mid": "mˌʌsənthɐv",
+   "final": "mˈʌsənthɐv",
+   "vowel": "mˌʌsənthɐv",
+   "flags": [
+    "$pastf",
+    "$u1+"
+   ]
+  },
+  "mustn't have to": {
+   "mid": "mˈʌsənthævtə",
+   "final": "mˈʌsənthævtʊ",
+   "vowel": "mˈʌsənthævtʊ",
+   "flags": [
+    "$pastf"
+   ]
+  },
+  "should have": {
+   "mid": "ʃˌʊdəv",
+   "final": "ʃˈʊdhæv",
+   "vowel": "ʃˌʊdəv",
+   "flags": [
+    "$atend",
+    "$pastf",
+    "$u1+"
+   ]
+  },
+  "should have it": {
+   "mid": "ʃʊdhˌævɪt",
+   "final": "ʃʊdhˈævɪt",
+   "vowel": "ʃʊdhˌævɪt",
+   "flags": [
+    "$u2+"
+   ]
+  },
+  "should have to": {
+   "mid": "ʃʊdhˌævtə",
+   "final": "ʃʊdhˈævtʊ",
+   "vowel": "ʃʊdhˌævtʊ",
+   "flags": [
+    "$strend2",
+    "$u2",
+    "$verbf"
+   ]
+  },
+  "shouldn't have": {
+   "mid": "ʃˌʊdənthəv",
+   "final": "ʃˈʊdənthəv",
+   "vowel": "ʃˌʊdənthəv",
+   "flags": [
+    "$pastf",
+    "$u1+"
+   ]
+  },
+  "shouldn't have to": {
+   "mid": "ʃˈʊdəntævtə",
+   "final": "ʃˈʊdəntævtʊ",
+   "vowel": "ʃˈʊdəntævtʊ",
+   "flags": [
+    "$strend2",
+    "$verbf"
+   ]
+  },
+  "can't have": {
+   "mid": "kˈæntɐv",
+   "final": "kˈæntɐv",
+   "vowel": "kˈæntɐv",
+   "flags": [
+    "$pastf"
+   ]
+  },
+  "can't have to": {
+   "mid": "kˈæntɐv tə",
+   "final": "kˌæntˈævtʊ",
+   "vowel": "kˈæntɐv tʊ",
+   "flags": [
+    "$atend",
+    "$verbf"
+   ]
+  },
+  "could have": {
+   "mid": "kˌʊdɐv",
+   "final": "kˈʊdhæv",
+   "vowel": "kˌʊdɐv",
+   "flags": [
+    "$atend",
+    "$pastf"
+   ]
+  },
+  "could have to": {
+   "mid": "kʊdhˌævtə",
+   "final": "kʊdhˈævtʊ",
+   "vowel": "kʊdhˌævtʊ",
+   "flags": [
+    "$strend2",
+    "$u2",
+    "$verbf"
+   ]
+  },
+  "could have it": {
+   "mid": "kʊdhˈævɪt",
+   "final": "kʊdhˈævɪt",
+   "vowel": "kʊdhˈævɪt",
+   "flags": []
+  },
+  "couldn't have": {
+   "mid": "kˌʊdəntəv",
+   "final": "kˈʊdəntəv",
+   "vowel": "kˌʊdəntəv",
+   "flags": [
+    "$pastf",
+    "$u1+"
+   ]
+  },
+  "couldn't have to": {
+   "mid": "kˈʊdəntævtə",
+   "final": "kˈʊdəntævtʊ",
+   "vowel": "kˈʊdəntævtʊ",
+   "flags": [
+    "$strend2",
+    "$verbf"
+   ]
+  },
+  "may have": {
+   "mid": "mˌeɪhɐv",
+   "final": "mˈeɪhɐv",
+   "vowel": "mˌeɪhɐv",
+   "flags": [
+    "$pastf",
+    "$u1+"
+   ]
+  },
+  "may have to": {
+   "mid": "mˌeɪhɐv tə",
+   "final": "mˌeɪhˈævtʊ",
+   "vowel": "mˌeɪhɐv tʊ",
+   "flags": [
+    "$atend",
+    "$verbf"
+   ]
+  },
+  "might have": {
+   "mid": "mˌaɪthɐv",
+   "final": "mˈaɪthɐv",
+   "vowel": "mˌaɪthɐv",
+   "flags": [
+    "$pastf",
+    "$u1+"
+   ]
+  },
+  "might have to": {
+   "mid": "mˌaɪthɐv tə",
+   "final": "mˌaɪthˈævtʊ",
+   "vowel": "mˌaɪthɐv tʊ",
+   "flags": [
+    "$atend",
+    "$verbf"
+   ]
+  },
+  "have been": {
+   "mid": "hɐvbɪn",
+   "final": "hɐvbɪn",
+   "vowel": "hɐvbɪn",
+   "flags": [
+    "$pastf"
+   ]
+  },
+  "have not": {
+   "mid": "hɐvnˌɑːt",
+   "final": "hɐvnˈɑːt",
+   "vowel": "hɐvnˌɑːt",
+   "flags": [
+    "$atend",
+    "$pastf"
+   ]
+  },
+  "has been": {
+   "mid": "hˈæzbiːn",
+   "final": "hˈæzbiːn",
+   "vowel": "hˈæzbiːn",
+   "flags": [
+    "$pastf"
+   ]
+  },
+  "has to": {
+   "final": "hˈæztuː",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "has not": {
+   "mid": "həznɑːt",
+   "final": "hɐznˈɑːt",
+   "vowel": "həznɑːt",
+   "flags": [
+    "$atend",
+    "$pastf"
+   ]
+  },
+  "has it": {
+   "final": "hˌæzɪt",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "had to": {
+   "mid": "hædtə",
+   "final": "hˈædtuː",
+   "vowel": "hædtʊ",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "had been": {
+   "mid": "hɐdbɪn",
+   "final": "hɐdbɪn",
+   "vowel": "hɐdbɪn",
+   "flags": [
+    "$pastf"
+   ]
+  },
+  "had it": {
+   "mid": "hˌædɪt",
+   "final": "hˌædɪt",
+   "vowel": "hˌædɪt",
+   "flags": []
+  },
+  "had them": {
+   "mid": "hˌædðɛm",
+   "final": "hˌædðɛm",
+   "vowel": "hˌædðɛm",
+   "flags": []
+  },
+  "had one": {
+   "final": "hˈædwʌn",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "had any": {
+   "mid": "hˌæd ˌɛni",
+   "final": "hˌæd ˌɛni",
+   "vowel": "hˌæd ˌɛni",
+   "flags": []
+  },
+  "had some": {
+   "mid": "hˌæd sʌm",
+   "final": "hˌæd sʌm",
+   "vowel": "hˌæd sʌm",
+   "flags": []
+  },
+  "do not": {
+   "mid": "duːnˌɑːt",
+   "final": "duːnˈɑːt",
+   "vowel": "duːnˌɑːt",
+   "flags": [
+    "$u2+",
+    "$verbf"
+   ]
+  },
+  "does not": {
+   "mid": "dʌznˌɑːt",
+   "final": "dʌznˈɑːt",
+   "vowel": "dʌznˌɑːt",
+   "flags": [
+    "$u2+",
+    "$verbf"
+   ]
+  },
+  "did not": {
+   "mid": "dɪdnˌɑːt",
+   "final": "dɪdnˈɑːt",
+   "vowel": "dɪdnˌɑːt",
+   "flags": [
+    "$u2+",
+    "$verbf"
+   ]
+  },
+  "that's it": {
+   "mid": "ðætsˈɪt",
+   "final": "ðætsˈɪt",
+   "vowel": "ðætsˈɪt",
+   "flags": []
+  },
+  "i've had": {
+   "mid": "aɪvhˌæd",
+   "final": "aɪvhˈæd",
+   "vowel": "aɪvhˌæd",
+   "flags": [
+    "$u2+"
+   ]
+  },
+  "you've had": {
+   "mid": "juːvhˌæd",
+   "final": "juːvhˈæd",
+   "vowel": "juːvhˌæd",
+   "flags": [
+    "$u2+"
+   ]
+  },
+  "he's had": {
+   "mid": "hiːzhˌæd",
+   "final": "hiːzhˈæd",
+   "vowel": "hiːzhˌæd",
+   "flags": [
+    "$u2+"
+   ]
+  },
+  "she's had": {
+   "mid": "ʃiːzhˌæd",
+   "final": "ʃiːzhˈæd",
+   "vowel": "ʃiːzhˌæd",
+   "flags": [
+    "$u2+"
+   ]
+  },
+  "it's had": {
+   "mid": "ɪtshˌæd",
+   "final": "ɪtshˈæd",
+   "vowel": "ɪtshˌæd",
+   "flags": [
+    "$u2+"
+   ]
+  },
+  "we've had": {
+   "mid": "wiːvhˌæd",
+   "final": "wiːvhˈæd",
+   "vowel": "wiːvhˌæd",
+   "flags": [
+    "$u2+"
+   ]
+  },
+  "they've had": {
+   "mid": "ðeɪvhˌæd",
+   "final": "ðeɪvhˈæd",
+   "vowel": "ðeɪvhˌæd",
+   "flags": [
+    "$u2+"
+   ]
+  },
+  "i am": {
+   "midcap": "aɪɐm",
+   "startcap": "aɪɐm",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "i shall": {
+   "midcap": "aɪʃˌɐl",
+   "startcap": "aɪʃˌɐl",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "it is": {
+   "mid": "ɪɾ ɪz",
+   "final": "ɪɾ ˈɪz",
+   "vowel": "ɪɾ ɪz",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "it was": {
+   "final": "ɪt wˈʌz",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "we shall": {
+   "mid": "wiːʃˌɐl",
+   "final": "wiːʃˈæl",
+   "vowel": "wiːʃˌɐl",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "i had": {
+   "final": "aɪ hˈæd",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "he had": {
+   "final": "hiː hˈæd",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "as is": {
+   "mid": "ˌæzˌɪz",
+   "final": "ˌæzˌɪz",
+   "vowel": "ˌæzˌɪz",
+   "flags": [
+    "$pause"
+   ]
+  },
+  "as it is": {
+   "mid": "ˌæzɪtˌɪz",
+   "final": "ˌæzɪtˈɪz",
+   "vowel": "ˌæzɪtˌɪz",
+   "flags": [
+    "$u+"
+   ]
+  },
+  "do so": {
+   "final": "dˈuː soʊ",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "not have": {
+   "mid": "nˌɑːɾɐv",
+   "final": "nˈɑːthæv",
+   "vowel": "nˌɑːɾɐv",
+   "flags": [
+    "$atend",
+    "$pastf",
+    "$u1"
+   ]
+  },
+  "not have to": {
+   "mid": "nˌɑːthævtə",
+   "final": "nˈɑːthævtʊ",
+   "vowel": "nˌɑːthævtʊ",
+   "flags": [
+    "$pastf",
+    "$strend"
+   ]
+  },
+  "not a": {
+   "mid": "nˌɑːɾə",
+   "final": "nˌɑːɾə",
+   "vowel": "nˌɑːɾə",
+   "r": "nˌɑːɾɚ",
+   "flags": [
+    "$nounf"
+   ]
+  },
+  "many of": {
+   "mid": "mˈɛnɪəv",
+   "final": "mˈɛnɪəv",
+   "vowel": "mˈɛnɪəv",
+   "flags": []
+  },
+  "some one": {
+   "mid": "sˈʌmwʌn",
+   "final": "sˈʌmwʌn",
+   "vowel": "sˈʌmwʌn",
+   "flags": []
+  },
+  "this one": {
+   "mid": "ðˈɪswˌʌn",
+   "final": "ðˈɪswˌʌn",
+   "vowel": "ðˈɪswˌʌn",
+   "flags": [
+    "$verbsf"
+   ]
+  },
+  "that a": {
+   "mid": "ðˌæɾə",
+   "final": "ðˌæɾə",
+   "vowel": "ðˌæɾə",
+   "r": "ðˌæɾɚ",
+   "flags": [
+    "$nounf"
+   ]
+  },
+  "that it": {
+   "mid": "ðˌɐɾɪt",
+   "final": "ðætˈɪt",
+   "vowel": "ðˌɐɾɪt",
+   "flags": [
+    "$atend",
+    "$verbsf"
+   ]
+  },
+  "that is": {
+   "final": "ðæt ˈɪz",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "that was": {
+   "final": "ðɐt wˈʌz",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "that one": {
+   "mid": "ðˈætwˌʌn",
+   "final": "ðˈætwˌʌn",
+   "vowel": "ðˈætwˌʌn",
+   "flags": []
+  },
+  "that the": {
+   "mid": "ðætðə",
+   "final": "ðætðə",
+   "vowel": "ðætðɪ",
+   "flags": []
+  },
+  "that has been": {
+   "mid": "ðɐthɐzbˌɪn",
+   "final": "ðɐthɐzbˈɪn",
+   "vowel": "ðɐthɐzbˌɪn",
+   "flags": [
+    "$u+"
+   ]
+  },
+  "that's been": {
+   "mid": "ðɐtsbˌɪn",
+   "final": "ðɐtsbˈɪn",
+   "vowel": "ðɐtsbˌɪn",
+   "flags": [
+    "$u+"
+   ]
+  },
+  "there are": {
+   "mid": "ðɛɹˌɑːɹ",
+   "final": "ðɛɹˈɑːɹ",
+   "vowel": "ðɛɹˌɑːɹ",
+   "flags": [
+    "$strend"
+   ]
+  },
+  "there is": {
+   "final": "ðɛɹˈɪz",
+   "flags": [
+    "$atend"
+   ]
+  },
+  "there be": {
+   "mid": "ðɛɹbˈiː",
+   "final": "ðɛɹbˈiː",
+   "vowel": "ðɛɹbˈiː",
+   "flags": []
+  },
+  "there was": {
+   "mid": "ðɛɹwˌʌz",
+   "final": "ðɛɹwˈʌz",
+   "vowel": "ðɛɹwˌʌz",
+   "flags": [
+    "$strend"
+   ]
+  },
+  "there were": {
+   "mid": "ðɛɹwˌɜː",
+   "final": "ðɛɹwˈɜː",
+   "vowel": "ðɛɹwˌɜːɹ",
+   "flags": [
+    "$strend"
+   ]
+  },
+  "than a": {
+   "mid": "ðˌænə",
+   "final": "ðˌænə",
+   "vowel": "ðˌænə",
+   "r": "ðˌænɚ",
+   "flags": [
+    "$nounf"
+   ]
+  },
+  "than an": {
+   "mid": "ðˌænən",
+   "final": "ðˌænən",
+   "vowel": "ðˌænən",
+   "flags": [
+    "$nounf"
+   ]
+  },
+  "a la": {
+   "mid": "ˌɑːlæ",
+   "final": "ˌɑːlæ",
+   "vowel": "ˌɑːlæ",
+   "flags": []
+  },
+  "a while": {
+   "mid": "ɐ wˈaɪl",
+   "vowel": "ɐ wˈaɪl",
+   "flags": []
+  },
+  "the while": {
+   "mid": "ðə wˈaɪl",
+   "vowel": "ðə wˈaɪl",
+   "flags": []
+  }
+ },
+ "homographs": {
+  "absent": {
+   "verb": "æbsˈɛnt"
+  },
+  "absently": {
+   "verb": "æbsˈɛntli"
+  },
+  "absentness": {
+   "verb": "æbsˈɛntnəs"
+  },
+  "abstract": {
+   "verb": "ɐbstɹˈækt"
+  },
+  "abuse": {
+   "verb": "ɐbjˈuːz"
+  },
+  "abusedly": {
+   "verb": "ɐbjˈuːzᵻdli"
+  },
+  "advert": {
+   "verb": "ɐdvˈɜːt"
+  },
+  "alternate": {
+   "verb": "ˈɔːltɚnˌeɪt"
+  },
+  "am": {
+   "verb": "ɐm",
+   "noun": "ɐm",
+   "past": "ɐm"
+  },
+  "analyses": {
+   "noun": "ɐnˈæləsˌiːz"
+  },
+  "appropriate": {
+   "verb": "ɐpɹˈoʊpɹɪˌeɪt"
+  },
+  "appropriately": {
+   "verb": "ɐpɹˈoʊpɹɪˌeɪtli"
+  },
+  "appropriateness": {
+   "verb": "ɐpɹˈoʊpɹɪˌeɪtnəs"
+  },
+  "approximate": {
+   "verb": "ɐpɹˈɑːksɪmˌeɪt"
+  },
+  "attribute": {
+   "verb": "ɐtɹˈɪbjuːt"
+  },
+  "bow": {
+   "verb": "bˈaʊ"
+  },
+  "bowhead": {
+   "verb": "bˈaʊhɛd"
+  },
+  "bowheads": {
+   "verb": "bˈaʊhɛdz"
+  },
+  "bowless": {
+   "verb": "bˈaʊləs"
+  },
+  "bowly": {
+   "verb": "bˈaʊli"
+  },
+  "breath": {
+   "verb": "bɹˈiːð"
+  },
+  "buffet": {
+   "noun": "bˈʌfeɪ"
+  },
+  "buffeted": {
+   "noun": "bˈʌfeɪᵻd"
+  },
+  "buffeting": {
+   "noun": "bˈʌfeɪɪŋ"
+  },
+  "buffetings": {
+   "noun": "bˈʌfeɪɪŋz"
+  },
+  "buffets": {
+   "noun": "bˈʌfeɪs"
+  },
+  "close": {
+   "verb": "klˈoʊz"
+  },
+  "cloth": {
+   "verb": "klˈoʊð"
+  },
+  "compound": {
+   "verb": "kɑːmpˈaʊnd"
+  },
+  "concert": {
+   "verb": "kənsˈɜːt"
+  },
+  "conduct": {
+   "verb": "kəndˈʌkt"
+  },
+  "conflict": {
+   "verb": "kənflˈɪkt"
+  },
+  "conscript": {
+   "verb": "kɑːnskɹˈɪpt"
+  },
+  "console": {
+   "verb": "kənsˈoʊl"
+  },
+  "consolement": {
+   "verb": "kənsˈoʊlmənt"
+  },
+  "consort": {
+   "verb": "kənsˈɔːɹt"
+  },
+  "construct": {
+   "verb": "kənstɹˈʌkt"
+  },
+  "content": {
+   "verb": "kəntˈɛnt",
+   "past": "kəntˈɛnt"
+  },
+  "contents": {
+   "past": "kəntˈɛnts"
+  },
+  "contest": {
+   "verb": "kəntˈɛst"
+  },
+  "contract": {
+   "verb": "kəntɹˈækt"
+  },
+  "contrast": {
+   "verb": "kəntɹˈæst"
+  },
+  "converse": {
+   "verb": "kənvˈɜːs"
+  },
+  "convert": {
+   "noun": "kˈɑːnvɜːt"
+  },
+  "converts": {
+   "noun": "kˈɑːnvɜːts"
+  },
+  "convict": {
+   "verb": "kənvˈɪkt"
+  },
+  "coordinate": {
+   "verb": "koʊˈɔːɹdɪnˌeɪt"
+  },
+  "coordinately": {
+   "verb": "koʊˈɔːɹdɪnˌeɪtli"
+  },
+  "defect": {
+   "verb": "dᵻfˈɛkt"
+  },
+  "degenerate": {
+   "noun": "dᵻdʒˈɛnɚɹət"
+  },
+  "degenerates": {
+   "noun": "dᵻdʒˈɛnɚɹəts"
+  },
+  "deliberate": {
+   "verb": "dᵻlˈɪbɚɹˌeɪt"
+  },
+  "deliberately": {
+   "verb": "dᵻlˈɪbɚɹˌeɪtli"
+  },
+  "deliberateness": {
+   "verb": "dᵻlˈɪbɚɹˌeɪtnəs"
+  },
+  "desert": {
+   "verb": "dᵻzˈɜːt"
+  },
+  "digest": {
+   "noun": "dˈaɪdʒɛst"
+  },
+  "digests": {
+   "noun": "dˈaɪdʒɛsts"
+  },
+  "disabuse": {
+   "verb": "dˌɪsɐbjˈuːz"
+  },
+  "disappropriate": {
+   "verb": "dɪsɐpɹˈoʊpɹɪˌeɪt"
+  },
+  "discontents": {
+   "past": "dɪskəntˈɛnts"
+  },
+  "dove": {
+   "verb": "dˈoʊv",
+   "past": "dˈoʊv"
+  },
+  "dovelike": {
+   "verb": "dˈoʊvlaɪk",
+   "past": "dˈoʊvlaɪk"
+  },
+  "doves": {
+   "past": "dˈoʊvz"
+  },
+  "egress": {
+   "verb": "ɪɡɹˈɛs"
+  },
+  "elaborate": {
+   "noun": "ᵻlˈæbɚɹət"
+  },
+  "ennis": {
+   "verb": "əniz",
+   "noun": "əniz",
+   "past": "əniz"
+  },
+  "entrance": {
+   "verb": "ɛntɹˈæns"
+  },
+  "entrancement": {
+   "verb": "ɛntɹˈænsmənt"
+  },
+  "entrancements": {
+   "verb": "ɛntɹˈænsmənts"
+  },
+  "envelope": {
+   "verb": "ɛnvˈɛləp"
+  },
+  "escort": {
+   "verb": "ɛskˈɔːɹt"
+  },
+  "estimate": {
+   "verb": "ˈɛstᵻmˌeɪt"
+  },
+  "exploit": {
+   "verb": "ɛksplˈɔɪt"
+  },
+  "export": {
+   "verb": "ɛkspˈoːɹt"
+  },
+  "extract": {
+   "verb": "ɛkstɹˈækt"
+  },
+  "filtrate": {
+   "verb": "fɪltɹˈeɪt"
+  },
+  "finance": {
+   "verb": "faɪnˈæns"
+  },
+  "fragment": {
+   "verb": "fɹæɡmˈɛnt"
+  },
+  "graduate": {
+   "verb": "ɡɹˈædjuːˌeɪt"
+  },
+  "house": {
+   "verb": "hˈaʊz"
+  },
+  "houseful": {
+   "verb": "hˈaʊzfəl"
+  },
+  "housefuls": {
+   "verb": "hˈaʊzfəlz"
+  },
+  "household": {
+   "verb": "hˈaʊzhoʊld"
+  },
+  "households": {
+   "verb": "hˈaʊzhoʊldz"
+  },
+  "houseless": {
+   "verb": "hˈaʊzləs"
+  },
+  "houselessness": {
+   "verb": "hˈaʊzləsnəs"
+  },
+  "housework": {
+   "verb": "hˈaʊzwɜːk"
+  },
+  "hydrate": {
+   "verb": "haɪdɹˈeɪt"
+  },
+  "implant": {
+   "verb": "ɪmplˈænt"
+  },
+  "incense": {
+   "verb": "ɪnsˈɛns"
+  },
+  "increase": {
+   "verb": "ɪŋkɹˈiːs"
+  },
+  "inseparate": {
+   "verb": "ɪnsˈɛpɚɹˌeɪt"
+  },
+  "insert": {
+   "verb": "ɪnsˈɜːt"
+  },
+  "internment": {
+   "noun": "ˈɪntɜːnmənt"
+  },
+  "internments": {
+   "noun": "ˈɪntɜːnmənts"
+  },
+  "internship": {
+   "noun": "ˈɪntɜːnʃˌɪp"
+  },
+  "internships": {
+   "noun": "ˈɪntɜːnʃˌɪps"
+  },
+  "interrupt": {
+   "verb": "ˌɪntɚɹˈʌpt"
+  },
+  "interwind": {
+   "verb": "ˌɪntɚwˈaɪnd"
+  },
+  "inwind": {
+   "verb": "ɪnwˈaɪnd"
+  },
+  "lactate": {
+   "verb": "læktˈeɪt"
+  },
+  "learned": {
+   "noun": "lˈɜːnᵻd"
+  },
+  "learnedness": {
+   "noun": "lˈɜːnᵻdnəs"
+  },
+  "live": {
+   "verb": "lˈɪv"
+  },
+  "liveness": {
+   "verb": "lˈɪvnəs"
+  },
+  "mandate": {
+   "verb": "mændˈeɪt"
+  },
+  "misappropriate": {
+   "verb": "mɪsɐpɹˈoʊpɹɪˌeɪt"
+  },
+  "misconduct": {
+   "verb": "mɪskəndˈʌkt"
+  },
+  "misestimate": {
+   "verb": "mɪsˈɛstᵻmˌeɪt"
+  },
+  "misuse": {
+   "verb": "mɪsjˈuːz"
+  },
+  "moderate": {
+   "verb": "mˈɑːdɚɹˌeɪt"
+  },
+  "moderately": {
+   "verb": "mˈɑːdɚɹˌeɪtli"
+  },
+  "object": {
+   "verb": "ɑːbdʒˈɛkt"
+  },
+  "overestimate": {
+   "verb": "ˌoʊvɚɹˈɛstᵻmˌeɪt"
+  },
+  "overlearned": {
+   "noun": "ˌoʊvɚlˈɜːnᵻd"
+  },
+  "overlive": {
+   "verb": "ˌoʊvɚlˈɪv"
+  },
+  "overuse": {
+   "verb": "ˌoʊvɚjˈuːz"
+  },
+  "overwind": {
+   "verb": "ˌoʊvɚwˈaɪnd"
+  },
+  "perfect": {
+   "verb": "pɚfˈɛkt"
+  },
+  "permit": {
+   "verb": "pɚmˈɪt"
+  },
+  "pervert": {
+   "noun": "pˈɜːvɚt"
+  },
+  "pervertedly": {
+   "noun": "pˈɜːvɚɾᵻdli"
+  },
+  "perverts": {
+   "noun": "pˈɜːvɚts"
+  },
+  "predigest": {
+   "noun": "pɹiːdˈaɪdʒɛst"
+  },
+  "predigests": {
+   "noun": "pɹiːdˈaɪdʒɛsts"
+  },
+  "present": {
+   "verb": "pɹɪzˈɛnt"
+  },
+  "produce": {
+   "noun": "pɹˈɑːduːs"
+  },
+  "progress": {
+   "verb": "pɹəɡɹˈɛs"
+  },
+  "project": {
+   "verb": "pɹədʒˈɛkt"
+  },
+  "prostrate": {
+   "verb": "pɹɑːstɹˈeɪt"
+  },
+  "protest": {
+   "verb": "pɹətˈɛst"
+  },
+  "read": {
+   "past": "ɹˈɛd"
+  },
+  "reappropriate": {
+   "verb": "ɹˌiːɐpɹˈoʊpɹɪˌeɪt"
+  },
+  "rebel": {
+   "verb": "ɹᵻbˈɛl"
+  },
+  "recall": {
+   "verb": "ɹᵻkˈɔːl"
+  },
+  "reconduct": {
+   "verb": "ɹˌiːkəndˈʌkt"
+  },
+  "reconvert": {
+   "noun": "ɹˌiːkˈɑːnvɜːt"
+  },
+  "reconverts": {
+   "noun": "ɹˌiːkˈɑːnvɜːts"
+  },
+  "reconvict": {
+   "verb": "ɹˌiːkənvˈɪkt"
+  },
+  "record": {
+   "verb": "ɹᵻkˈoːɹd"
+  },
+  "reentrance": {
+   "verb": "ɹiːɛntɹˈæns"
+  },
+  "refund": {
+   "noun": "ɹˈiːfʌnd"
+  },
+  "refunds": {
+   "noun": "ɹˈiːfʌndz"
+  },
+  "refuse": {
+   "noun": "ɹˈɛfjuːs"
+  },
+  "reimplant": {
+   "verb": "ɹˌiːɪmplˈænt"
+  },
+  "remit": {
+   "verb": "ɹiːmˈɪt"
+  },
+  "remitter": {
+   "verb": "ɹiːmˈɪɾɚ"
+  },
+  "resent": {
+   "past": "ɹiːsˈɛnt"
+  },
+  "resented": {
+   "past": "ɹiːsˈɛntᵻd"
+  },
+  "resentful": {
+   "past": "ɹiːsˈɛntfəl"
+  },
+  "resentfulness": {
+   "past": "ɹiːsˈɛntfəlnəs"
+  },
+  "resenting": {
+   "past": "ɹiːsˈɛntɪŋ"
+  },
+  "resentment": {
+   "past": "ɹiːsˈɛntmənt"
+  },
+  "resentments": {
+   "past": "ɹiːsˈɛntmənts"
+  },
+  "resents": {
+   "past": "ɹiːsˈɛnts"
+  },
+  "separate": {
+   "verb": "sˈɛpɚɹˌeɪt"
+  },
+  "separately": {
+   "verb": "sˈɛpɚɹˌeɪtli"
+  },
+  "separateness": {
+   "verb": "sˈɛpɚɹˌeɪtnəs"
+  },
+  "slaver": {
+   "verb": "slˈævɚ"
+  },
+  "slough": {
+   "verb": "slˈʌf"
+  },
+  "some": {
+   "past": "sʌm"
+  },
+  "subordinate": {
+   "verb": "sʌbˈoːɹdᵻnˌeɪt"
+  },
+  "survey": {
+   "verb": "sɚvˈeɪ"
+  },
+  "suspect": {
+   "verb": "səspˈɛkt"
+  },
+  "tear": {
+   "verb": "tˈɛɹ"
+  },
+  "tearful": {
+   "verb": "tˈɛɹfəl"
+  },
+  "tearfulness": {
+   "verb": "tˈɛɹfəlnəs"
+  },
+  "tearless": {
+   "verb": "tˈɛɹləs"
+  },
+  "torment": {
+   "verb": "toːɹmˈɛnt"
+  },
+  "tormentful": {
+   "verb": "toːɹmˈɛntfəl"
+  },
+  "transf": {
+   "verb": "tɹɐnsf",
+   "noun": "tɹɐnsf",
+   "past": "tɹɐnsf"
+  },
+  "transfer": {
+   "verb": "tɹænsfˈɜː"
+  },
+  "transl": {
+   "verb": "tɹɐnsəl",
+   "noun": "tɹɐnsəl",
+   "past": "tɹɐnsəl"
+  },
+  "transp": {
+   "verb": "tɹɐnsp",
+   "noun": "tɹɐnsp",
+   "past": "tɹɐnsp"
+  },
+  "transport": {
+   "verb": "tɹænspˈoːɹt"
+  },
+  "triplicate": {
+   "verb": "tɹˈɪplᵻkˌeɪt"
+  },
+  "unappropriate": {
+   "verb": "ʌnɐpɹˈoʊpɹɪˌeɪt"
+  },
+  "unbow": {
+   "verb": "ʌnbˈaʊ"
+  },
+  "unconvert": {
+   "noun": "ʌŋkˈɑːnvɜːt"
+  },
+  "undeliberate": {
+   "verb": "ˌʌndᵻlˈɪbɚɹˌeɪt"
+  },
+  "undercloth": {
+   "verb": "ˌʌndɚklˈoʊð"
+  },
+  "underestimate": {
+   "verb": "ˌʌndɚɹˈɛstᵻmˌeɪt"
+  },
+  "undergraduate": {
+   "verb": "ˌʌndɚɡɹˈædjuːˌeɪt"
+  },
+  "underground": {
+   "noun": "ˈʌndɚɡɹˌaʊnd"
+  },
+  "undergrounds": {
+   "noun": "ˈʌndɚɡɹˌaʊndz"
+  },
+  "unlearned": {
+   "noun": "ʌnlˈɜːnᵻd"
+  },
+  "unlive": {
+   "verb": "ʌnlˈɪv"
+  },
+  "unn": {
+   "verb": "ənn",
+   "noun": "ənn",
+   "past": "ənn"
+  },
+  "unresented": {
+   "past": "ˌʌnɹiːsˈɛntᵻd"
+  },
+  "unseparate": {
+   "verb": "ʌnsˈɛpɚɹˌeɪt"
+  },
+  "unuse": {
+   "verb": "ʌnjˈuːz"
+  },
+  "upbring": {
+   "verb": "əpbɹɪŋ",
+   "noun": "əpbɹɪŋ",
+   "past": "əpbɹɪŋ"
+  },
+  "upbringing": {
+   "verb": "əpbɹɪŋɪŋ",
+   "noun": "əpbɹɪŋɪŋ",
+   "past": "əpbɹɪŋɪŋ"
+  },
+  "update": {
+   "verb": "ʌpdˈeɪt"
+  },
+  "upgrade": {
+   "verb": "ʌpɡɹˈeɪd"
+  },
+  "upset": {
+   "noun": "ˈʌpsɛt"
+  },
+  "upsetment": {
+   "noun": "ˈʌpsɛtmənt"
+  },
+  "upsets": {
+   "noun": "ˈʌpsɛts"
+  },
+  "upsetters": {
+   "noun": "ˈʌpsɛɾɚz"
+  },
+  "use": {
+   "verb": "jˈuːz"
+  },
+  "usehold": {
+   "verb": "jˈuːzhoʊld"
+  },
+  "useless": {
+   "verb": "jˈuːzləs"
+  },
+  "uselessly": {
+   "verb": "jˈuːzləsli"
+  },
+  "uselessness": {
+   "verb": "jˈuːzləsnəs"
+  },
+  "while": {
+   "noun": "wˈaɪl"
+  },
+  "wind": {
+   "verb": "wˈaɪnd"
+  },
+  "windless": {
+   "verb": "wˈaɪndləs"
+  },
+  "windlike": {
+   "verb": "wˈaɪndlaɪk"
+  },
+  "wound": {
+   "past": "wˈaʊnd"
+  }
+ },
+ "flag_sets": {
+  "verbf": [
+   "absolutely",
+   "already",
+   "alternately",
+   "amply",
+   "busily",
+   "can",
+   "can't",
+   "closely",
+   "could",
+   "couldn't",
+   "did",
+   "didn't",
+   "do",
+   "does",
+   "doesn't",
+   "doesnt",
+   "don't",
+   "he'll",
+   "i",
+   "i'll",
+   "just",
+   "may",
+   "might",
+   "must",
+   "mustn't",
+   "never",
+   "nobly",
+   "now",
+   "preferably",
+   "presently",
+   "severely",
+   "shall",
+   "shalln't",
+   "shalt",
+   "shan't",
+   "she'll",
+   "should",
+   "shouldn't",
+   "shrilly",
+   "singly",
+   "soon",
+   "still",
+   "subtly",
+   "then",
+   "there'll",
+   "they",
+   "they'll",
+   "to",
+   "truely",
+   "we",
+   "we'll",
+   "which",
+   "who",
+   "will",
+   "won't",
+   "would",
+   "you",
+   "you'll"
+  ],
+  "verbsf": [
+   "he",
+   "it",
+   "she",
+   "that",
+   "this"
+  ],
+  "nounf": [
+   "a",
+   "an",
+   "another",
+   "any",
+   "at",
+   "every",
+   "her",
+   "his",
+   "in",
+   "its",
+   "many",
+   "my",
+   "one",
+   "our",
+   "some",
+   "that",
+   "the",
+   "their",
+   "these",
+   "this",
+   "those",
+   "transports",
+   "your"
+  ],
+  "pastf": [
+   "are",
+   "aren't",
+   "be",
+   "been",
+   "being",
+   "get",
+   "getting",
+   "got",
+   "had",
+   "hadn't",
+   "has",
+   "hasn't",
+   "hath",
+   "have",
+   "haven't",
+   "havent",
+   "having",
+   "he's",
+   "i've",
+   "is",
+   "isn't",
+   "she's",
+   "they've",
+   "was",
+   "wasn't",
+   "wast",
+   "we'd",
+   "we've",
+   "were",
+   "weren't",
+   "you've"
+  ],
+  "verbextend": [
+   "not",
+   "only"
+  ],
+  "pause": [
+   "although",
+   "and",
+   "because",
+   "but",
+   "despite",
+   "furthermore",
+   "ie",
+   "if",
+   "instead",
+   "nor",
+   "once",
+   "or",
+   "regardless",
+   "since",
+   "thus",
+   "whatever",
+   "whenever",
+   "where",
+   "which",
+   "whilst",
+   "who",
+   "whose"
+  ],
+  "brk": [
+   "while",
+   "within"
+  ],
+  "allcaps": [
+   "ado",
+   "all",
+   "c",
+   "dr",
+   "eg",
+   "gi",
+   "has",
+   "it",
+   "la",
+   "mit",
+   "no",
+   "not",
+   "now",
+   "to",
+   "un",
+   "us",
+   "usd"
+  ],
+  "abbrev": [
+   "aaa",
+   "abc",
+   "ac",
+   "acsi",
+   "adf",
+   "adhd",
+   "ado",
+   "adsl",
+   "ae",
+   "aes",
+   "afk",
+   "agm",
+   "agpl",
+   "ai",
+   "aitb",
+   "aj",
+   "amd",
+   "aol",
+   "aph",
+   "api",
+   "asap",
+   "aspca",
+   "astm",
+   "ati",
+   "atk",
+   "atm",
+   "atsc",
+   "atv",
+   "avc",
+   "avg",
+   "bsod",
+   "byod",
+   "c",
+   "ceo",
+   "ces",
+   "cet",
+   "cia",
+   "cio",
+   "ctia",
+   "diy",
+   "dmca",
+   "doj",
+   "dr",
+   "echr",
+   "edst",
+   "edt",
+   "eff",
+   "efi",
+   "eg",
+   "ept",
+   "espn",
+   "esrb",
+   "est",
+   "eu",
+   "evga",
+   "ewmh",
+   "exe",
+   "ftaa",
+   "fyi",
+   "gi",
+   "hiv",
+   "ibm",
+   "ibmtts",
+   "icmp",
+   "ieee",
+   "ietf",
+   "iidc",
+   "iis",
+   "iiuc",
+   "imo",
+   "inlb",
+   "ios",
+   "ip",
+   "ipa",
+   "ipcc",
+   "iptv",
+   "irc",
+   "irs",
+   "isbn",
+   "isp",
+   "it",
+   "itx",
+   "la",
+   "lapd",
+   "lbs",
+   "lotr",
+   "mit",
+   "mmorpg",
+   "motd",
+   "mpaa",
+   "msaa",
+   "mya",
+   "ncis",
+   "ntia",
+   "ny",
+   "nypd",
+   "nypsd",
+   "nyse",
+   "nyt",
+   "ocd",
+   "ocr",
+   "odf",
+   "oecd",
+   "oic",
+   "ok",
+   "olpc",
+   "omg",
+   "os",
+   "osx",
+   "otoh",
+   "otr",
+   "pcie",
+   "pcmcia",
+   "psa",
+   "psu",
+   "riaa",
+   "rnib",
+   "rtos",
+   "sae",
+   "sla",
+   "ssid",
+   "ssip",
+   "suv",
+   "ucl",
+   "ucla",
+   "ucs",
+   "udp",
+   "ueb",
+   "uefi",
+   "ufo",
+   "ui",
+   "uia",
+   "uk",
+   "umts",
+   "un",
+   "unhcr",
+   "upc",
+   "upnp",
+   "url",
+   "us",
+   "usa",
+   "usaf",
+   "usb",
+   "usd",
+   "usda",
+   "ussr",
+   "utc",
+   "utf",
+   "uucp",
+   "uuid",
+   "uv",
+   "vi",
+   "wuxga",
+   "xl",
+   "xxx",
+   "xy",
+   "yd"
+  ]
+ },
+ "letters": {
+  "a": "ˈeɪ",
+  "b": "bˈiː",
+  "c": "sˈiː",
+  "d": "dˈiː",
+  "e": "ˈiː",
+  "f": "ˈɛf",
+  "g": "dʒˈiː",
+  "h": "ˈeɪtʃ",
+  "i": "ˈaɪ",
+  "j": "dʒˈeɪ",
+  "k": "kˈeɪ",
+  "l": "ˈɛl",
+  "m": "ˈɛm",
+  "n": "ˈɛn",
+  "o": "ˈoʊ",
+  "p": "pˈiː",
+  "q": "kjˈuː",
+  "r": "ˈɑːɹ",
+  "s": "ˈɛs",
+  "t": "tˈiː",
+  "u": "jˈuː",
+  "v": "vˈiː",
+  "w": "dˈʌbəljˌuː",
+  "x": "ˈɛks",
+  "y": "wˈaɪ",
+  "z": "zˈiː"
+ }
+}
\ No newline at end of file
diff --git a/Sources/FluidAudio/TTS/LuxTts/G2p/Resources/luxtts_en_us_lexicon.tsv.zz b/Sources/FluidAudio/TTS/LuxTts/G2p/Resources/luxtts_en_us_lexicon.tsv.zz
new file mode 100644
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diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsError.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsError.swift
index 26d145d3c..82f30b610 100644
--- a/Sources/FluidAudio/TTS/LuxTts/LuxTtsError.swift
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsError.swift
@@ -10,9 +10,6 @@ public enum LuxTtsError: Error, LocalizedError {
     case invalidPromptAudio(String)
     case inputTooLong(String)
     case inferenceFailed(stage: String, underlying: String)
-    /// Phase 1 ships no in-process text→espeak-IPA frontend; callers must
-    /// supply pre-phonemized input via `synthesize(phonemes:...)`.
-    case g2pUnavailable
 
     public var errorDescription: String? {
         switch self {
@@ -32,10 +29,6 @@ public enum LuxTtsError: Error, LocalizedError {
             return "LuxTTS input exceeds the fixed CoreML shape bucket: \(detail)"
         case .inferenceFailed(let stage, let underlying):
             return "LuxTTS inference failed at \(stage): \(underlying)"
-        case .g2pUnavailable:
-            return
-                "LuxTTS has no built-in text→phoneme frontend yet; pass espeak-style "
-                + "IPA via synthesize(phonemes:promptPhonemes:...) (tokens.txt token set)."
         }
     }
 }
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsManager.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsManager.swift
index ad91d6844..74716d4d7 100644
--- a/Sources/FluidAudio/TTS/LuxTts/LuxTtsManager.swift
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsManager.swift
@@ -10,23 +10,19 @@ import Foundation
 ///   2. `LuxTtsTokenizer`    — espeak-IPA phoneme string → token ids.
 ///   3. `LuxTtsSynthesizer`  — flow-matching host loop (see its docs).
 ///
-/// Phase 1 input contract: **pre-phonemized espeak IPA** (`en-us`, the token
-/// set in `tokens.txt`). There is no in-process text→IPA frontend yet:
-/// the model was trained on espeak phonemes, and the KokoroAne/StyleTTS2
-/// Misaki frontend output does not map onto them cleanly (Misaki drops
-/// espeak length marks `ː`, uses `ʤ`/`ʧ` ligatures and different weak
-/// forms — measured 78 vs 85 tokens on the same sentence), which would
-/// shift both pronunciation and the ratio-based duration estimate.
-/// `synthesize(text:...)` therefore throws `LuxTtsError.g2pUnavailable`
-/// until the phase-2 espeak-parity G2P lands.
+/// Text input runs through `LuxTtsG2p` (espeak-parity English G2P from a
+/// bundled lexicon — the model was trained on espeak `en-us` phonemes via
+/// EmiliaTokenizer, and Misaki-style frontends do not map onto that token
+/// set). Pre-phonemized espeak IPA is still accepted via
+/// `synthesize(phonemes:...)`.
 ///
 /// Usage:
 /// ```swift
 /// let manager = try await LuxTtsManager.downloadAndCreate()
 /// let result = try await manager.synthesize(
-///     phonemes: "ðə kwˈɪk bɹˈaʊn fˈɑːks...",
+///     text: "The quick brown fox jumps over the lazy dog.",
 ///     promptAudio: promptWavURL,
-///     promptPhonemes: "kwˈɪk bɹˈaʊn fˈɑːks...")
+///     promptText: "The transcript of the prompt clip.")
 /// // result.samples is 48 kHz mono Float32 PCM.
 /// ```
 public actor LuxTtsManager {
@@ -39,6 +35,7 @@ public actor LuxTtsManager {
 
     private var store: LuxTtsModelStore?
     private var synthesizer: LuxTtsSynthesizer?
+    private var g2p: LuxTtsG2p?
 
     /// - Parameters:
     ///   - directory: Model cache root override (default: shared TTS cache).
@@ -91,9 +88,12 @@ public actor LuxTtsManager {
 
     // MARK: - Synthesis
 
-    /// Synthesize from raw text. **Phase 1: always throws
-    /// `LuxTtsError.g2pUnavailable`** — see the type-level discussion.
-    /// Use `synthesize(phonemes:promptAudio:promptPhonemes:...)`.
+    /// Synthesize from raw English text (espeak-parity G2P, see `LuxTtsG2p`).
+    ///
+    /// - Parameters:
+    ///   - text: English text to speak.
+    ///   - promptAudio: Prompt clip (see `synthesize(phonemes:...)`).
+    ///   - promptText: Transcript of the prompt clip (raw text).
     public func synthesize(
         text: String,
         promptAudio: URL,
@@ -101,8 +101,22 @@ public actor LuxTtsManager {
         speed: Float = LuxTtsConstants.defaultSpeed,
         seed: UInt64 = LuxTtsConstants.defaultSeed
     ) async throws -> LuxTtsSynthesisResult {
-        _ = (text, promptAudio, promptText, speed, seed)
-        throw LuxTtsError.g2pUnavailable
+        let g2p = try englishG2p()
+        return try await synthesize(
+            phonemes: g2p.phonemize(text: text),
+            promptAudio: promptAudio,
+            promptPhonemes: g2p.phonemize(text: promptText),
+            speed: speed,
+            seed: seed)
+    }
+
+    /// The bundled espeak-parity English G2P (loaded lazily; ~4 MB of
+    /// lexicon tables, no network access).
+    public func englishG2p() throws -> LuxTtsG2p {
+        if let g2p { return g2p }
+        let g2p = try LuxTtsG2p()
+        self.g2p = g2p
+        return g2p
     }
 
     /// Synthesize from espeak-IPA phoneme strings (the `tokens.txt` set;
diff --git a/Sources/FluidAudio/TTS/TtsBackend.swift b/Sources/FluidAudio/TTS/TtsBackend.swift
index 07761180b..978fd7682 100644
--- a/Sources/FluidAudio/TTS/TtsBackend.swift
+++ b/Sources/FluidAudio/TTS/TtsBackend.swift
@@ -32,8 +32,8 @@ public enum TtsBackend: Sendable {
     /// (`TextEncoder → FmDecoder ×4 anchor-Euler steps → fixed-shape Vocos
     /// vocoder`), 48 kHz mono output.
     ///
-    /// > Note: Phase 1 has no text frontend — input must be pre-phonemized
-    /// > espeak IPA (`LuxTtsManager.synthesize(phonemes:...)`); raw-text
-    /// > `synthesize(text:...)` throws `LuxTtsError.g2pUnavailable`.
+    /// English text input runs through the bundled espeak-parity G2P
+    /// (`LuxTtsG2p`); pre-phonemized espeak IPA is accepted via
+    /// `LuxTtsManager.synthesize(phonemes:...)`.
     case luxtts
 }
diff --git a/Sources/FluidAudioCLI/Commands/TTS/LuxTtsG2pDumpCommand.swift b/Sources/FluidAudioCLI/Commands/TTS/LuxTtsG2pDumpCommand.swift
new file mode 100644
index 000000000..1b2f717ee
--- /dev/null
+++ b/Sources/FluidAudioCLI/Commands/TTS/LuxTtsG2pDumpCommand.swift
@@ -0,0 +1,82 @@
+#if os(macOS)
+import FluidAudio
+import Foundation
+
+/// Dump LuxTTS G2P output for a sentence corpus as JSONL
+/// (`{"text": ..., "phonemes": ..., "ids": [...]}` per line).
+///
+/// This feeds the espeak-oracle gate in
+/// `mobius/models/tts/zipvoice/coreml/g2p/validate.py`:
+///
+///     swift run fluidaudiocli luxtts-g2p-dump \
+///         --corpus corpus_en_1000.txt --tokens tokens.txt --out swift_dump.jsonl
+///     python -m coreml.g2p.validate score \
+///         --oracle oracle_tokens.jsonl --swift swift_dump.jsonl
+enum LuxTtsG2pDumpCommand {
+
+    private static let logger = AppLogger(category: "LuxTtsG2pDump")
+
+    static func run(arguments: [String]) async {
+        var corpusPath: String? = nil
+        var outPath: String? = nil
+        var tokensPath: String? = nil
+        var i = 0
+        while i < arguments.count {
+            switch arguments[i] {
+            case "--corpus":
+                if i + 1 < arguments.count {
+                    corpusPath = arguments[i + 1]
+                    i += 1
+                }
+            case "--out":
+                if i + 1 < arguments.count {
+                    outPath = arguments[i + 1]
+                    i += 1
+                }
+            case "--tokens":
+                if i + 1 < arguments.count {
+                    tokensPath = arguments[i + 1]
+                    i += 1
+                }
+            case "--help", "-h":
+                print(
+                    "Usage: fluidaudiocli luxtts-g2p-dump --corpus <sentences.txt> "
+                        + "--tokens <tokens.txt> --out <dump.jsonl>")
+                return
+            default:
+                break
+            }
+            i += 1
+        }
+        guard let corpusPath, let outPath, let tokensPath else {
+            logger.error("luxtts-g2p-dump requires --corpus, --tokens and --out")
+            exit(1)
+        }
+        do {
+            let g2p = try LuxTtsG2p()
+            let tokenizer = try LuxTtsTokenizer(
+                tokensFileURL: URL(fileURLWithPath: tokensPath))
+
+            let corpus = try String(contentsOfFile: corpusPath, encoding: .utf8)
+            var lines: [String] = []
+            for sentence in corpus.split(separator: "\n", omittingEmptySubsequences: true) {
+                let text = sentence.trimmingCharacters(in: .whitespaces)
+                if text.isEmpty { continue }
+                let phonemes = g2p.phonemize(text: text)
+                let ids = tokenizer.tokenIds(phonemes: phonemes)
+                let record: [String: Any] = [
+                    "text": text, "phonemes": phonemes, "ids": ids,
+                ]
+                let data = try JSONSerialization.data(withJSONObject: record)
+                lines.append(String(data: data, encoding: .utf8)!)
+            }
+            try (lines.joined(separator: "\n") + "\n")
+                .write(toFile: outPath, atomically: true, encoding: .utf8)
+            logger.info("Wrote \(lines.count) entries to \(outPath)")
+        } catch {
+            logger.error("luxtts-g2p-dump failed: \(error)")
+            exit(1)
+        }
+    }
+}
+#endif
diff --git a/Sources/FluidAudioCLI/Commands/TTSCommand.swift b/Sources/FluidAudioCLI/Commands/TTSCommand.swift
index 5ada976ac..79a7adf38 100644
--- a/Sources/FluidAudioCLI/Commands/TTSCommand.swift
+++ b/Sources/FluidAudioCLI/Commands/TTSCommand.swift
@@ -353,11 +353,12 @@ public struct TTS {
         }
     }
 
-    /// Run LuxTTS zero-shot voice cloning. Requires `--prompt-audio` and
-    /// `--prompt-text`. Phase 1 ships no text→espeak-IPA frontend, so
-    /// `--phonemes` is required: both the positional text and
-    /// `--prompt-text` are interpreted as espeak IPA (en-us) phoneme
-    /// strings from the `tokens.txt` token set.
+    /// Run LuxTTS zero-shot voice cloning. Requires `--prompt-audio`.
+    /// Text mode (default): the positional text and `--prompt-text` are
+    /// raw English, phonemized in-process (`LuxTtsG2p`). If `--prompt-text`
+    /// is omitted the prompt clip is transcribed with Parakeet ASR (models
+    /// download on first use). With `--phonemes`, both the text and
+    /// `--prompt-text` are espeak IPA (en-us) from the `tokens.txt` set.
     private static func runLuxTts(
         text: String, output: String,
         promptAudioPath: String?, promptText: String?,
@@ -369,17 +370,10 @@ public struct TTS {
             logger.error("luxtts backend requires --prompt-audio <clip.wav>")
             exit(1)
         }
-        guard let promptText else {
+        if treatAsPhonemes && promptText == nil {
             logger.error(
-                "luxtts backend requires --prompt-text (the prompt clip's transcript)")
-            exit(1)
-        }
-        guard treatAsPhonemes else {
-            logger.error(
-                "luxtts phase 1 has no text→espeak-IPA frontend: pass --phonemes and "
-                    + "provide espeak IPA (en-us) for both the text and --prompt-text "
-                    + "(e.g. via `espeak-ng`/piper-phonemize against the LuxTTS tokens.txt "
-                    + "set). Raw-text G2P is phase 2.")
+                "luxtts --phonemes requires --prompt-text (espeak IPA of the prompt "
+                    + "clip); ASR prompt transcription is only available in text mode")
             exit(1)
         }
         do {
@@ -395,13 +389,30 @@ public struct TTS {
             logger.info(
                 "LuxTTS speed=\(String(format: "%.2f", speed)) seed=\(seed)")
 
+            let resolvedPromptText: String
+            if let promptText {
+                resolvedPromptText = promptText
+            } else {
+                resolvedPromptText = try await transcribeLuxTtsPrompt(promptURL)
+            }
+
             let tSynth0 = Date()
-            let result = try await manager.synthesize(
-                phonemes: text,
-                promptAudio: promptURL,
-                promptPhonemes: promptText,
-                speed: speed,
-                seed: seed)
+            let result: LuxTtsSynthesisResult
+            if treatAsPhonemes {
+                result = try await manager.synthesize(
+                    phonemes: text,
+                    promptAudio: promptURL,
+                    promptPhonemes: resolvedPromptText,
+                    speed: speed,
+                    seed: seed)
+            } else {
+                result = try await manager.synthesize(
+                    text: text,
+                    promptAudio: promptURL,
+                    promptText: resolvedPromptText,
+                    speed: speed,
+                    seed: seed)
+            }
             let tSynth1 = Date()
 
             let outURL = resolveInputURL(output)
@@ -474,6 +485,27 @@ public struct TTS {
         }
     }
 
+    /// Transcribe the LuxTTS prompt clip with Parakeet ASR (only invoked
+    /// when `--prompt-text` is omitted, so TTS-only users never pay the
+    /// ASR model download).
+    private static func transcribeLuxTtsPrompt(_ promptURL: URL) async throws -> String {
+        logger.info("--prompt-text not provided; transcribing prompt with Parakeet ASR…")
+        let models = try await AsrModels.downloadAndLoad()
+        let asrManager = AsrManager(config: .default)
+        try await asrManager.loadModels(models)
+        var decoderState = TdtDecoderState.make(
+            decoderLayers: await asrManager.decoderLayerCount)
+        let result = try await asrManager.transcribe(promptURL, decoderState: &decoderState)
+        let transcript = result.text.trimmingCharacters(in: .whitespacesAndNewlines)
+        guard !transcript.isEmpty else {
+            throw LuxTtsError.invalidPromptAudio(
+                "ASR produced an empty transcript for \(promptURL.path); "
+                    + "pass --prompt-text explicitly")
+        }
+        logger.info("Prompt transcript: \(transcript)")
+        return transcript
+    }
+
     /// Run PocketTTS in deterministic-seed mode through the session API,
     /// applying the same de-essing post-processing as the non-seed path.
     private static func runPocketSeededSynthesis(
@@ -1086,9 +1118,11 @@ public struct TTS {
                                      --cpu-only                 disable Neural Engine
                                    LuxTTS (zero-shot voice cloning, 48 kHz):
                                      --prompt-audio <clip.wav>  required — voice prompt (<= 5 s used)
-                                     --prompt-text "…"          required — prompt transcript as espeak IPA
-                                     --phonemes                 required in phase 1: text and --prompt-text
-                                                                are espeak IPA (en-us) phoneme strings
+                                     --prompt-text "…"          prompt transcript (English text); if
+                                                                omitted, the clip is transcribed with
+                                                                Parakeet ASR (downloads ASR models)
+                                     --phonemes                 bypass the built-in G2P: text and
+                                                                --prompt-text are espeak IPA (en-us)
                                      --speed 1.0                speech-rate divisor (default 1.0)
                                      --seed N                   flow-matching noise seed (default 42)
               --lexicon, -l        Custom pronunciation lexicon file (KokoroAne --variant zh only):
diff --git a/Sources/FluidAudioCLI/FluidAudioCLI.swift b/Sources/FluidAudioCLI/FluidAudioCLI.swift
index 2504661e8..a8bc9750a 100644
--- a/Sources/FluidAudioCLI/FluidAudioCLI.swift
+++ b/Sources/FluidAudioCLI/FluidAudioCLI.swift
@@ -48,6 +48,8 @@ struct FluidAudioCLI {
             await TTS.run(arguments: Array(arguments.dropFirst(2)))
         case "tts-asr-verify":
             await TTSAsrVerifyCommand.run(arguments: Array(arguments.dropFirst(2)))
+        case "luxtts-g2p-dump":
+            await LuxTtsG2pDumpCommand.run(arguments: Array(arguments.dropFirst(2)))
         case "tts-benchmark":
             await TtsBenchmarkCommand.run(arguments: Array(arguments.dropFirst(2)))
         case "minimax-corpus":
diff --git a/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsE2ETests.swift b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsE2ETests.swift
index 71db39db3..5464e113a 100644
--- a/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsE2ETests.swift
+++ b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsE2ETests.swift
@@ -66,19 +66,20 @@ final class LuxTtsE2ETests: XCTestCase {
         await manager.cleanup()
     }
 
-    func testRawTextSynthesisThrowsG2pUnavailable() async throws {
-        // No models needed: the phase-1 raw-text overload must fail loudly
-        // before touching the pipeline.
+    func testRawTextSynthesisRequiresInitialize() async throws {
+        // No models needed: the raw-text overload phonemizes in-process
+        // (bundled G2P, no download) and must still fail loudly with
+        // `.notInitialized` before touching the pipeline.
         let manager = LuxTtsManager()
         do {
             _ = try await manager.synthesize(
                 text: "hello",
                 promptAudio: URL(fileURLWithPath: "/nonexistent.wav"),
                 promptText: "hello")
-            XCTFail("expected g2pUnavailable")
+            XCTFail("expected notInitialized")
         } catch let error as LuxTtsError {
-            guard case .g2pUnavailable = error else {
-                XCTFail("expected g2pUnavailable, got \(error)")
+            guard case .notInitialized = error else {
+                XCTFail("expected notInitialized, got \(error)")
                 return
             }
         }
diff --git a/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsG2pTests.swift b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsG2pTests.swift
new file mode 100644
index 000000000..677a29ff6
--- /dev/null
+++ b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsG2pTests.swift
@@ -0,0 +1,122 @@
+import XCTest
+
+@testable import FluidAudio
+
+/// Espeak-parity G2P tests. Expected strings are the espeak-ng oracle
+/// output (piper_phonemize en-us via EmiliaTokenizer, i.e. the exact
+/// frontend LuxTTS was trained on), generated with
+/// `mobius/models/tts/zipvoice/coreml/g2p/validate.py dump-oracle`.
+///
+/// Corpus-level gates (1,000 sentences: 99.6% sentence exact match,
+/// 0.01% token edit rate) are enforced by the reproducible harness in
+/// the mobius worktree; these tests pin representative behaviors.
+final class LuxTtsG2pTests: XCTestCase {
+
+    private static let g2p: LuxTtsG2p = {
+        do {
+            return try LuxTtsG2p()
+        } catch {
+            fatalError("cannot load bundled G2P resources: \(error)")
+        }
+    }()
+
+    private func assertPhonemes(
+        _ text: String, _ expected: String,
+        file: StaticString = #filePath, line: UInt = #line
+    ) {
+        XCTAssertEqual(
+            Self.g2p.phonemize(text: text), expected, file: file, line: line)
+    }
+
+    // MARK: - Phase-1 fixture sentences
+
+    func testFixtureSentence1() {
+        assertPhonemes(
+            "The quick brown fox jumps over the lazy dog, and honestly, it felt great.",
+            "ðə kwˈɪk bɹˈaʊn fˈɑːks dʒˈʌmps ˌoʊvɚ ðə lˈeɪzi dˈɑːɡ, ænd ˈɑːnɪstli, ɪt fˈɛlt ɡɹˈeɪt.")
+    }
+
+    func testFixtureSentence2CamelCase() {
+        assertPhonemes(
+            "FluidAudio runs speech models locally on Apple silicon, no cloud required.",
+            "flˈuːɪd ˈɔːdɪˌoʊ ɹˈʌnz spˈiːtʃ mˈɑːdəlz lˈoʊkəli ˌɔn ˈæpəl sˈɪlɪkən, nˈoʊ klˈaʊd ɹᵻkwˈaɪɚd.")
+    }
+
+    func testFixtureSentence3PromptTranscript() {
+        assertPhonemes(
+            "Quick brown fox jumps over the lazy dog and honestly it felt great.",
+            "kwˈɪk bɹˈaʊn fˈɑːks dʒˈʌmps ˌoʊvɚ ðə lˈeɪzi dˈɑːɡ ænd ˈɑːnɪstli ɪt fˈɛlt ɡɹˈeɪt.")
+    }
+
+    // MARK: - Numbers / normalization (upstream ZipVoice normalizer parity)
+
+    func testNumbersTimeOrdinalCurrency() {
+        assertPhonemes(
+            "The meeting starts at 3:45 PM on March 21st, and it costs $12.50.",
+            "ðə mˈiːɾɪŋ stˈɑːɹts æt θɹˈiː: fˈɔːɹɾifˈaɪv pˌiːˈɛm ˌɔn mˈɑːɹtʃ twˈɛntifˈɜːst, "
+                + "ænd ɪt kˈɔsts twˈɛlv dˈɑːlɚz, fˈɪfti sˈɛnts.")
+    }
+
+    func testAbbreviationAndHomographs() {
+        // Dr. -> doctor; "read" defaults to present, stays present after
+        // pronoun "I" ($verbf window); "the record" selects the noun form.
+        assertPhonemes(
+            "Dr. Smith read the record; I read it yesterday.",
+            "dˈɑːktɚ.smˈɪθ ɹˈiːd ðə ɹˈɛkɚd; aɪ ɹˈiːd ɪt jˈɛstɚdˌeɪ.")
+    }
+
+    func testNormalizerYearAndCardinal() {
+        XCTAssertEqual(
+            LuxTtsEnglishNormalizer.normalize("born in 1855, moved in 2007"),
+            "born in  eighteen fifty-five , moved in  two thousand seven ")
+        XCTAssertEqual(LuxTtsEnglishNormalizer.cardinalWords(123), "one hundred twenty-three")
+        XCTAssertEqual(LuxTtsEnglishNormalizer.ordinalWords("42nd"), "forty-second")
+    }
+
+    // MARK: - espeak clause behaviors
+
+    func testWeakFormsAndMerges() {
+        // "in the" merges without a space; "the" -> ðɪ before vowels;
+        // capital I is the unstressed pronoun (aɪ), lowercase i the letter.
+        assertPhonemes("in the house", "ɪnðə hˈaʊs")
+        assertPhonemes("the apple", "ðɪ ˈæpəl")
+        assertPhonemes("I want to eat", "aɪ wˈɔnt tʊ ˈiːt")
+        assertPhonemes("I want to go", "aɪ wˈɔnt tə ɡˈoʊ")
+    }
+
+    func testStrendStressResolution() {
+        // $strend2: "over" is fully stressed only when followed by
+        // unstressed words (with linking-r before a vowel).
+        assertPhonemes("jump over it", "dʒˈʌmp ˈoʊvɚɹ ɪt")
+        assertPhonemes("jumps over the lazy dog", "dʒˈʌmps ˌoʊvɚ ðə lˈeɪzi dˈɑːɡ")
+    }
+
+    func testAllCapsSpellOut() {
+        assertPhonemes("the FBI called", "ðə ˌɛfbˌiːˈaɪ kˈɔːld")
+    }
+
+    func testPossessiveFallback() {
+        // "John's" resolves via the possessive rule when absent from the
+        // lexicon row set (voiced final -> z).
+        let phonemes = Self.g2p.phonemize(text: "John's dog")
+        XCTAssertTrue(phonemes.hasPrefix("dʒˈɑːnz"), "got \(phonemes)")
+    }
+
+    // MARK: - Token id mapping (fixture ids from the espeak oracle)
+
+    func testFixtureSentence1TokenIds() throws {
+        let expected = [
+            41, 59, 3, 23, 35, 120, 74, 23, 3, 15, 88, 120, 14, 100, 26, 3,
+            19, 120, 51, 122, 23, 31, 3, 17, 108, 120, 102, 25, 28, 31, 3,
+            121, 27, 100, 34, 60, 3, 41, 59, 3, 24, 120, 18, 74, 38, 21, 3,
+            17, 120, 51, 122, 66, 8, 3, 39, 26, 17, 3, 120, 51, 122, 26, 74,
+            31, 32, 24, 21, 8, 3, 74, 32, 3, 19, 120, 61, 24, 32, 3, 66, 88,
+            120, 18, 74, 32, 10,
+        ]
+        let tokensURL = try LuxTtsFixtures.resourceURL("tokens.txt")
+        let tokenizer = try LuxTtsTokenizer(tokensFileURL: tokensURL)
+        let phonemes = Self.g2p.phonemize(
+            text: "The quick brown fox jumps over the lazy dog, and honestly, it felt great.")
+        XCTAssertEqual(tokenizer.tokenIds(phonemes: phonemes), expected)
+    }
+}

From aac707279c28548187bb310550a18cdf27d5e731 Mon Sep 17 00:00:00 2001
From: Alex-Wengg <hanweng9@gmail.com>
Date: Wed, 8 Jul 2026 16:15:29 -0400
Subject: [PATCH 3/5] refactor(tts/luxtts): 7 output-preserving code-review
 fixes
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Guards, reuse, and perf cleanups for the LuxTTS backend. None change
synthesis output — verified via the standalone parity harness (solver
timesteps + expansion indices byte-identical, mel max_abs 1.72e-4 < 1e-3)
and the CLI e2e (838 frames / 220672 samples, RMS ~0.154, unchanged).

1. Solver: `tokensIndex` now throws `.degenerateDuration` when
   featuresLength < tokensCount (avg < 1 would collapse every frame onto
   the pad slot and synthesize silence). Normal-path math unchanged;
   throw threaded through the synthesizer call site.
2. Manager: `synthesize(text:)` fails fast with `.notInitialized` before
   the G2P lexicon load + phonemization, matching the phonemes path.
3. CLI: prompt ASR transcription runs before `manager.initialize()`
   (independent, only needs the prompt URL) and is wrapped to log an
   actionable "pass --prompt-text to skip ASR" message on failure.
4. G2p: `RawToken.isWordish` force-unwrap → guard-let (empty → false).
5. Synthesizer: `LuxTtsMelExtractor` built once and stored (Hann window,
   filterbank, DFT setup are all call-independent). Synthesizer becomes
   an actor to hold the non-Sendable extractor, mirroring
   StyleTTS2Synthesizer; extractor `fftSetup` is now `let`.
6. Solver loop: drop the redundant per-step tail-rezero (makeArray's
   reset already zeros the tail and nothing writes past activeCount);
   preallocate the `v` scratch once and reuse it via a `copyRows(into:)`
   overload instead of allocating per step.
7. Mel: vectorize the per-frame `log(max(x, floor))` with
   vDSP_vthr + vvlogf into a reused buffer (max_abs 1.72e-4, unchanged
   within fp tolerance vs fixture).

Adds a unit test for the degenerate-duration guard.
---
 .../FluidAudio/TTS/LuxTts/G2p/LuxTtsG2p.swift |  2 +-
 .../FluidAudio/TTS/LuxTts/LuxTtsError.swift   |  6 ++++
 .../FluidAudio/TTS/LuxTts/LuxTtsManager.swift |  3 ++
 .../TTS/LuxTts/LuxTtsMelExtractor.swift       | 12 +++++--
 .../FluidAudio/TTS/LuxTts/LuxTtsSolver.swift  |  9 ++++-
 .../TTS/LuxTts/LuxTtsSynthesizer.swift        | 34 ++++++++++++++-----
 .../FluidAudioCLI/Commands/TTSCommand.swift   | 20 ++++++++---
 .../TTS/LuxTts/LuxTtsSolverTests.swift        | 21 +++++++++++-
 8 files changed, 88 insertions(+), 19 deletions(-)

diff --git a/Sources/FluidAudio/TTS/LuxTts/G2p/LuxTtsG2p.swift b/Sources/FluidAudio/TTS/LuxTts/G2p/LuxTtsG2p.swift
index b7322c041..8d664e98d 100644
--- a/Sources/FluidAudio/TTS/LuxTts/G2p/LuxTtsG2p.swift
+++ b/Sources/FluidAudio/TTS/LuxTts/G2p/LuxTtsG2p.swift
@@ -178,7 +178,7 @@ public struct LuxTtsG2p: Sendable {
         let start: Int  // scalar offset
         let end: Int
         var isWordish: Bool {
-            let c = text.unicodeScalars.first!
+            guard let c = text.unicodeScalars.first else { return false }
             return CharacterSet.letters.contains(c) || CharacterSet.decimalDigits.contains(c)
         }
     }
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsError.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsError.swift
index 82f30b610..92782e29f 100644
--- a/Sources/FluidAudio/TTS/LuxTts/LuxTtsError.swift
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsError.swift
@@ -9,6 +9,7 @@ public enum LuxTtsError: Error, LocalizedError {
     case tokenizerFailed(String)
     case invalidPromptAudio(String)
     case inputTooLong(String)
+    case degenerateDuration(featuresLength: Int, tokensCount: Int)
     case inferenceFailed(stage: String, underlying: String)
 
     public var errorDescription: String? {
@@ -27,6 +28,11 @@ public enum LuxTtsError: Error, LocalizedError {
             return "LuxTTS prompt audio invalid: \(detail)"
         case .inputTooLong(let detail):
             return "LuxTTS input exceeds the fixed CoreML shape bucket: \(detail)"
+        case .degenerateDuration(let featuresLength, let tokensCount):
+            return
+                "LuxTTS duration estimate is degenerate: features length \(featuresLength) < "
+                + "token count \(tokensCount) yields < 1 frame per token, which would collapse "
+                + "every frame onto the pad slot (prompt too short or too many tokens)"
         case .inferenceFailed(let stage, let underlying):
             return "LuxTTS inference failed at \(stage): \(underlying)"
         }
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsManager.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsManager.swift
index 74716d4d7..786d53bc1 100644
--- a/Sources/FluidAudio/TTS/LuxTts/LuxTtsManager.swift
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsManager.swift
@@ -101,6 +101,9 @@ public actor LuxTtsManager {
         speed: Float = LuxTtsConstants.defaultSpeed,
         seed: UInt64 = LuxTtsConstants.defaultSeed
     ) async throws -> LuxTtsSynthesisResult {
+        // Fail fast before the (potentially expensive) G2P lexicon load and
+        // phonemization; the phonemes path guards on the same store below.
+        guard store != nil else { throw LuxTtsError.notInitialized }
         let g2p = try englishG2p()
         return try await synthesize(
             phonemes: g2p.phonemize(text: text),
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsMelExtractor.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsMelExtractor.swift
index 45e47f79a..2fd254f3d 100644
--- a/Sources/FluidAudio/TTS/LuxTts/LuxTtsMelExtractor.swift
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsMelExtractor.swift
@@ -21,7 +21,8 @@ public final class LuxTtsMelExtractor {
 
     private let hannWindow: [Float]
     private let melFilterbankFlat: [Float]  // [nMels x (nFFT/2+1)] row-major
-    private var fftSetup: vDSP_DFT_Setup?
+    // Immutable after init (only read in extract, freed in deinit).
+    private let fftSetup: vDSP_DFT_Setup?
 
     public init() {
         self.hannWindow = Self.periodicHannWindow(length: nFFT)
@@ -69,6 +70,9 @@ public final class LuxTtsMelExtractor {
         var magnitude = [Float](repeating: 0, count: bins)
         var imagSq = [Float](repeating: 0, count: bins)
         var melFrame = [Float](repeating: 0, count: nMels)
+        var logMel = [Float](repeating: 0, count: nMels)
+        var floor = LuxTtsConstants.logMelFloor
+        var melCount = Int32(nMels)
 
         var frames: [[Float]] = []
         frames.reserveCapacity(targetFrames)
@@ -108,7 +112,11 @@ public final class LuxTtsMelExtractor {
                 }
             }
 
-            frames.append(melFrame.map { log(max($0, LuxTtsConstants.logMelFloor)) })
+            // log(max(mel, floor)) vectorized: clamp to the floor (vDSP_vthr)
+            // then natural log (vvlogf) into the reused logMel buffer.
+            vDSP_vthr(melFrame, 1, &floor, &logMel, 1, vDSP_Length(nMels))
+            vvlogf(&logMel, logMel, &melCount)
+            frames.append(logMel)
         }
 
         // lhotse alignment: replicate the last frame if the STFT produced
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsSolver.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsSolver.swift
index cf6520184..0bf009099 100644
--- a/Sources/FluidAudio/TTS/LuxTts/LuxTtsSolver.swift
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsSolver.swift
@@ -29,8 +29,15 @@ public enum LuxTtsSolver {
     /// `prepare_avg_tokens_durations` + `get_tokens_index`: every token gets
     /// `featuresLength / tokensCount` frames and the remainder frames map to
     /// index `tokensCount` — the appended pad-slot embedding row.
-    public static func tokensIndex(tokensCount: Int, featuresLength: Int) -> [Int] {
+    public static func tokensIndex(tokensCount: Int, featuresLength: Int) throws -> [Int] {
         let avg = featuresLength / tokensCount
+        // avg < 1 collapses every real token to zero frames: the whole
+        // sequence maps to the pad slot and synthesis is silent. Fail loudly
+        // instead of emitting garbage.
+        guard avg >= 1 else {
+            throw LuxTtsError.degenerateDuration(
+                featuresLength: featuresLength, tokensCount: tokensCount)
+        }
         var index = [Int](repeating: tokensCount, count: featuresLength)
         var frame = 0
         for token in 0..<tokensCount {
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsSynthesizer.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsSynthesizer.swift
index 8d7de7186..13d5ec834 100644
--- a/Sources/FluidAudio/TTS/LuxTts/LuxTtsSynthesizer.swift
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsSynthesizer.swift
@@ -33,10 +33,14 @@ public struct LuxTtsSynthesisResult: Sendable {
 ///      samples and clipped to [-1, 1].
 ///   6. If the prompt RMS was below `targetRms`, scale the waveform back
 ///      down by `promptRms / targetRms` (upstream `rms_norm` contract).
-struct LuxTtsSynthesizer {
+actor LuxTtsSynthesizer {
 
     private let logger = AppLogger(category: "LuxTtsSynthesizer")
     private let store: LuxTtsModelStore
+    /// Call-independent (precomputed Hann window, mel filterbank, DFT setup),
+    /// so it is built once and reused across every synthesis call. Held on the
+    /// actor (a non-Sendable class, mirroring `StyleTTS2Synthesizer`).
+    private let extractor = LuxTtsMelExtractor()
 
     init(store: LuxTtsModelStore) {
         self.store = store
@@ -83,7 +87,6 @@ struct LuxTtsSynthesizer {
             vDSP_vsmul(prompt, 1, &gain, &prompt, 1, vDSP_Length(prompt.count))
         }
 
-        let extractor = LuxTtsMelExtractor()
         let promptMel = extractor.extract(audio: prompt)  // [T][100], unscaled
         let promptFrames = promptMel.count
         guard promptFrames > 0 else {
@@ -150,12 +153,11 @@ struct LuxTtsSynthesizer {
             stage: "TextEncoder")
 
         // --- Stage 2: expansion + conditions (fixed 1 × 1024 × 100) ---
-        let frameCapacity = maxFrames * featDim
         let textCondition = try makeArray(shape: [1, maxFrames, featDim], dataType: .float32)
         let speechCondition = try makeArray(shape: [1, maxFrames, featDim], dataType: .float32)
         let frameMask = try makeArray(shape: [1, maxFrames], dataType: .float32)
 
-        let tokensIndex = LuxTtsSolver.tokensIndex(
+        let tokensIndex = try LuxTtsSolver.tokensIndex(
             tokensCount: tokenCount, featuresLength: featuresLength)
         textCondition.withUnsafeMutableBufferPointer(ofType: Float.self) { out, _ in
             for frame in 0..<featuresLength {
@@ -192,6 +194,8 @@ struct LuxTtsSynthesizer {
 
         var x0p = [Float](repeating: 0, count: activeCount)
         var x1p = [Float](repeating: 0, count: activeCount)
+        // Reused across all 4 steps (copyRows writes every element each step).
+        var v = [Float](repeating: 0, count: activeCount)
 
         for step in 0..<LuxTtsConstants.numSteps {
             let tCur = Float(timeSteps[step])
@@ -200,10 +204,11 @@ struct LuxTtsSynthesizer {
 
             tArray[0] = NSNumber(value: tCur)
             xArray.withUnsafeMutableBufferPointer(ofType: Float.self) { buf, _ in
+                // The tail past activeCount stays zero from makeArray's
+                // reset(to: 0); only the active prefix is ever written here.
                 x.withUnsafeBufferPointer { src in
                     buf.baseAddress!.update(from: src.baseAddress!, count: activeCount)
                 }
-                for i in activeCount..<frameCapacity { buf[i] = 0 }
             }
 
             let out = try predict(
@@ -221,8 +226,8 @@ struct LuxTtsSynthesizer {
                 throw LuxTtsError.inferenceFailed(
                     stage: "FmDecoder step \(step)", underlying: "no v output")
             }
-            let v = try copyRows(
-                from: vArray, rowCount: featuresLength, rowLength: featDim,
+            try copyRows(
+                from: vArray, into: &v, rowCount: featuresLength, rowLength: featDim,
                 stage: "FmDecoder step \(step)")
 
             // x1p = x + (1 - t)·v ; x0p = x - t·v ;
@@ -300,6 +305,19 @@ struct LuxTtsSynthesizer {
     private func copyRows(
         from array: MLMultiArray, rowCount: Int, rowLength: Int, stage: String
     ) throws -> [Float] {
+        var out = [Float](repeating: 0, count: rowCount * rowLength)
+        try copyRows(from: array, into: &out, rowCount: rowCount, rowLength: rowLength, stage: stage)
+        return out
+    }
+
+    /// `copyRows` variant that writes into a caller-owned buffer (reused
+    /// across the flow-matching steps to avoid a per-step allocation). `out`
+    /// must hold at least `rowCount * rowLength` floats.
+    private func copyRows(
+        from array: MLMultiArray, into out: inout [Float],
+        rowCount: Int, rowLength: Int, stage: String
+    ) throws {
+        precondition(out.count >= rowCount * rowLength, "copyRows destination too small")
         let dims = array.shape.count
         guard array.dataType == .float32, dims >= 2,
             array.strides[dims - 1].intValue == 1,
@@ -313,7 +331,6 @@ struct LuxTtsSynthesizer {
                     + "dtype \(array.dataType.rawValue) for \(rowCount)×\(rowLength) read")
         }
         let rowStride = array.strides[dims - 2].intValue
-        var out = [Float](repeating: 0, count: rowCount * rowLength)
         array.withUnsafeBufferPointer(ofType: Float.self) { src in
             out.withUnsafeMutableBufferPointer { dst in
                 for row in 0..<rowCount {
@@ -322,7 +339,6 @@ struct LuxTtsSynthesizer {
                 }
             }
         }
-        return out
     }
 
     private func makeArray(shape: [Int], dataType: MLMultiArrayDataType) throws -> MLMultiArray {
diff --git a/Sources/FluidAudioCLI/Commands/TTSCommand.swift b/Sources/FluidAudioCLI/Commands/TTSCommand.swift
index 79a7adf38..d48193337 100644
--- a/Sources/FluidAudioCLI/Commands/TTSCommand.swift
+++ b/Sources/FluidAudioCLI/Commands/TTSCommand.swift
@@ -380,22 +380,32 @@ public struct TTS {
             let tStart = Date()
             let manager = LuxTtsManager()
 
-            let tLoad0 = Date()
-            try await manager.initialize()
-            let tLoad1 = Date()
-
             let promptURL = resolveInputURL(promptAudioPath)
             logger.info("LuxTTS prompt audio: \(promptURL.path)")
             logger.info(
                 "LuxTTS speed=\(String(format: "%.2f", speed)) seed=\(seed)")
 
+            // Prompt transcription (ASR) is independent of the TTS models and
+            // only needs the prompt URL, so resolve it before loading the
+            // synthesis stages. On failure, point the user at --prompt-text so
+            // they can skip ASR entirely.
             let resolvedPromptText: String
             if let promptText {
                 resolvedPromptText = promptText
             } else {
-                resolvedPromptText = try await transcribeLuxTtsPrompt(promptURL)
+                do {
+                    resolvedPromptText = try await transcribeLuxTtsPrompt(promptURL)
+                } catch {
+                    logger.error(
+                        "Prompt transcription failed; pass --prompt-text to skip ASR: \(error)")
+                    throw error
+                }
             }
 
+            let tLoad0 = Date()
+            try await manager.initialize()
+            let tLoad1 = Date()
+
             let tSynth0 = Date()
             let result: LuxTtsSynthesisResult
             if treatAsPhonemes {
diff --git a/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsSolverTests.swift b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsSolverTests.swift
index 8af54e5ae..dea120232 100644
--- a/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsSolverTests.swift
+++ b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsSolverTests.swift
@@ -37,7 +37,7 @@ final class LuxTtsSolverTests: XCTestCase {
         let fixtures = try LuxTtsFixtures.load()
         for text in fixtures.texts {
             let expansion = text.expansion
-            let index = LuxTtsSolver.tokensIndex(
+            let index = try LuxTtsSolver.tokensIndex(
                 tokensCount: expansion.tokensLen,
                 featuresLength: expansion.featuresLen)
             XCTAssertEqual(index.count, expansion.tokensIndexLen)
@@ -47,6 +47,25 @@ final class LuxTtsSolverTests: XCTestCase {
         }
     }
 
+    func testTokensIndexThrowsOnDegenerateDuration() {
+        // featuresLength < tokensCount ⇒ avg < 1 ⇒ every real token gets zero
+        // frames and the whole sequence collapses to the pad slot. Must throw
+        // rather than silently return an all-pad (silent) index.
+        XCTAssertThrowsError(
+            try LuxTtsSolver.tokensIndex(tokensCount: 10, featuresLength: 5)
+        ) { error in
+            guard case LuxTtsError.degenerateDuration(let fl, let tc) = error else {
+                XCTFail("expected degenerateDuration, got \(error)")
+                return
+            }
+            XCTAssertEqual(fl, 5)
+            XCTAssertEqual(tc, 10)
+        }
+        // Boundary: avg == 1 (featuresLength == tokensCount) must NOT throw.
+        XCTAssertNoThrow(
+            try LuxTtsSolver.tokensIndex(tokensCount: 4, featuresLength: 4))
+    }
+
     func testAnchorEulerMiniTrajectoryMatchesFixture() throws {
         let fixtures = try LuxTtsFixtures.load()
         let solver = fixtures.solver

From 028950b30fe37db61eaa4156fed2b73a5c55df55 Mon Sep 17 00:00:00 2001
From: Alex-Wengg <hanweng9@gmail.com>
Date: Wed, 8 Jul 2026 16:33:11 -0400
Subject: [PATCH 4/5] feat(tts/luxtts): wire ANE-canonical graph as the iOS
 path
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

The ane/ TextEncoder and FmDecoder graphs share a byte-for-byte identical
external I/O contract with the gpu/ graphs (same input/output names, shapes
and fp32 dtype) — the ANE canonicalization (channel-axis pre-concat,
(1,C,1,S) working layout) lives entirely inside the MIL and transposes back
to (1,1024,100) before output. So the iOS path needs no host-side adapter:
the existing LuxTtsSynthesizer packing drives both variants unchanged.

- ModelNames.LuxTts.defaultVariant already selects ane/ on iOS; add a
  FLUIDAUDIO_LUXTTS_VARIANT override so the ane/ path is exercisable on a
  Mac's ANE (validation seam, no #if os(iOS) fork). ModelHub's requiredFiles
  pattern filter already scopes downloads to the selected variant prefix, so
  macOS never pulls ane/ and iOS never pulls gpu/.
- Extract the encoder/decoder compute-unit policy into a pure, unit-tested
  static (ane -> .cpuAndNeuralEngine, else .cpuAndGPU; explicit override
  wins). Vocoder stays .cpuAndGPU everywhere (only ~72% ANE-placeable and
  CPU_AND_NE compilation is flaky).
- Document the shared ane/gpu I/O contract and the quality/latency tradeoff
  (~27x RT, ~25 MB ANE weights, ~-0.5 dB softer, transcript verbatim).

Validated on this Mac's ANE (FmDecoder 100% ANE-resident, TextEncoder 99%
via compute-plan): 48 kHz, 220672 samples (4.597s), RMS 0.157, Parakeet
round-trip transcript verbatim. macOS gpu path byte-identical (no regress).
---
 Documentation/TTS/LuxTts.md                   |  59 +++++++-
 Sources/FluidAudio/ModelNames.swift           |  21 +++
 .../TTS/LuxTts/LuxTtsModelStore.swift         |  30 +++-
 .../TTS/LuxTts/LuxTtsVariantTests.swift       | 142 ++++++++++++++++++
 4 files changed, 241 insertions(+), 11 deletions(-)
 create mode 100644 Tests/FluidAudioTests/TTS/LuxTts/LuxTtsVariantTests.swift

diff --git a/Documentation/TTS/LuxTts.md b/Documentation/TTS/LuxTts.md
index 40a7e9fd8..6832868f7 100644
--- a/Documentation/TTS/LuxTts.md
+++ b/Documentation/TTS/LuxTts.md
@@ -21,10 +21,55 @@ Models: [FluidInference/luxtts-coreml](https://huggingface.co/FluidInference/lux
 
 | Asset | Purpose |
 |---|---|
-| `gpu/TextEncoder.mlmodelc`, `gpu/FmDecoder.mlmodelc` | Original graph. macOS path, `.cpuAndGPU`. **Never run on the ANE** — the rel-pos attention path corrupts audio there. |
-| `ane/…` | ANE-canonical rewrite for iOS (`.cpuAndNeuralEngine`). Host wiring is phase 2; input names differ from `gpu/` (verify via `modelDescription`). |
-| `vocoder/Vocoder282.mlmodelc`, `vocoder/Vocoder555.mlmodelc` | Fixed-shape 48 kHz Vocos vocoders (`mel (1,100,S) → audio`). Smallest bucket ≥ generated frames is used; mel is never truncated. |
-| `tokens.txt`, `config.json` | EmiliaTokenizer phoneme→id table (espeak IPA per Unicode scalar + pinyin initials/finals). |
+| `gpu/TextEncoder.mlmodelc`, `gpu/FmDecoder.mlmodelc` | Original graph. **macOS** path, `.cpuAndGPU`. **Never run on the ANE** — the rel-pos attention path corrupts audio there. |
+| `ane/TextEncoder.mlmodelc`, `ane/FmDecoder.mlmodelc` | ANE-canonical rewrite. **iOS** path, `.cpuAndNeuralEngine` (FmDecoder 100% ANE-resident, TextEncoder 99%). Same external I/O as `gpu/` — see below. |
+| `vocoder/Vocoder282.mlmodelc`, `vocoder/Vocoder555.mlmodelc` | Fixed-shape 48 kHz Vocos vocoders (`mel (1,100,S) → audio`). Shared across variants; run `.cpuAndGPU` **everywhere** (only ~72% ANE-placeable, and CPU_AND_NE compilation is flaky). Smallest bucket ≥ generated frames is used; mel is never truncated. |
+| `tokens.txt`, `config.json` | EmiliaTokenizer phoneme→id table (espeak IPA per Unicode scalar + pinyin initials/finals). Shared across variants. |
+
+### Platform variant selection
+
+`ModelNames.LuxTts.defaultVariant` picks `gpu` on macOS and `ane` on iOS;
+`LuxTtsModelStore` maps that to `.cpuAndGPU` / `.cpuAndNeuralEngine`. The
+downloader pulls **only** the selected variant's two `.mlmodelc` bundles
+(plus the shared `vocoder/`, `tokens.txt`, `config.json`) — macOS never
+fetches `ane/`, iOS never fetches `gpu/` (ModelHub's `requiredFiles`
+pattern filter scopes the tree walk to the variant prefix).
+
+Set `FLUIDAUDIO_LUXTTS_VARIANT=ane` (or `gpu`) to override the platform
+default. This is the validation seam: the M-series ANE runs the `ane/`
+graph under `.cpuAndNeuralEngine` exactly as an iPhone would, so the iOS
+path is fully exercisable on a Mac without an `#if os(iOS)` fork.
+
+### ANE vs GPU graph I/O (identical external contract)
+
+Despite the "ANE-canonical" rewrite (the FmDecoder pre-concatenates
+`x|text_condition|speech_condition` on the channel axis and works in
+`(1, C, 1, S)` form internally for zero-fallback ANE placement), **the
+externally-visible input/output signature is byte-for-byte the same as the
+`gpu/` graph** — the cat / transpose / expand-dims are all inside the MIL,
+and the output is transposed back to `(1, 1024, 100)` before it leaves the
+graph. So no host-side adapter is needed; the same `LuxTtsSynthesizer`
+tensor packing drives both graphs.
+
+| model | inputs | output |
+|---|---|---|
+| **TextEncoder** (gpu + ane) | `tokens (1,256) int32`, `padding_mask (1,256) fp32` | `token_embeds (1,256,100) fp32` |
+| **FmDecoder** (gpu + ane) | `x (1,1024,100)`, `text_condition (1,1024,100)`, `speech_condition (1,1024,100)`, `t (1)`, `guidance_scale (1)`, `padding_mask (1,1024)` — all fp32 | `v (1,1024,100) fp32` |
+
+### ANE quality / latency tradeoff
+
+The ANE FmDecoder runs in fp16 (ANE has no fp32 datapath); the gpu graph
+keeps fp32 accumulation. This softens the output slightly but stays
+transcript-verbatim:
+
+| variant | core RTFx (full bucket) | steady footprint | log-mel cos vs oracle | RMS delta | round-trip transcript |
+|---|---|---|---|---|---|
+| gpu (`.cpuAndGPU`) | ~92× | ~1 GB | 0.999 | -0.09 dB | verbatim |
+| ane (`.cpuAndNeuralEngine`) | ~27× | ~660 MB / **25.5 MB** ANE weights | 0.964 | -0.54 dB | verbatim |
+
+The ANE path is ~0.5 dB softer, not bit-identical, but the Parakeet
+round-trip transcript matches the input text exactly. The much smaller
+jetsam-visible footprint is why iOS uses it.
 
 All shapes are fixed: ≤ 255 tokens (+1 pad slot), ≤ 1024 mel frames
 total, ≤ 555 generated frames (~5.9 s per call; chunking is phase 2).
@@ -143,6 +188,10 @@ warning, matching upstream.
 ```bash
 swift test --filter LuxTts                        # tokenizer/solver/mel/G2P (fixtures)
 FLUIDAUDIO_RUN_LUXTTS_E2E=1 swift test --filter LuxTtsE2ETests   # model-dependent e2e
+
+# Exercise the iOS ane/ graph on a Mac's ANE (downloads the ane/ variant):
+FLUIDAUDIO_LUXTTS_VARIANT=ane FLUIDAUDIO_RUN_LUXTTS_E2E=1 \
+  swift test --filter LuxTtsE2ETests
 ```
 
 Fixtures are generated by
@@ -157,8 +206,6 @@ corpus-level gate is scored with `luxtts-g2p-dump` + `validate.py score`
 
 - Long-input chunking across multiple vocoder windows (> 555 generated
   frames currently errors; mel truncation is not allowed).
-- iOS `ane/` graph host wiring (input names differ from `gpu/`, may take
-  pre-concatenated `(1, 300, 1, 1024)` inputs) + device validation.
 - Optional VAD-based automatic prompt-silence trimming.
 - Non-English text (the G2P is `en-us` only; Mandarin pinyin tokens
   exist in `tokens.txt` but have no frontend).
diff --git a/Sources/FluidAudio/ModelNames.swift b/Sources/FluidAudio/ModelNames.swift
index 2d4ff8dfe..b8ee12111 100644
--- a/Sources/FluidAudio/ModelNames.swift
+++ b/Sources/FluidAudio/ModelNames.swift
@@ -1154,7 +1154,14 @@ public enum ModelNames {
         public static let aneVariant = "ane"
 
         /// Platform default graph variant: `gpu/` on macOS, `ane/` elsewhere.
+        ///
+        /// The `FLUIDAUDIO_LUXTTS_VARIANT` environment variable overrides this
+        /// (accepts `gpu` / `ane`). It exists so the iOS `ane/` path can be
+        /// exercised on macOS — the M-series ANE runs the `ane/` graph under
+        /// `.cpuAndNeuralEngine` exactly as an iPhone would, so the override
+        /// is the on-device validation seam without an `#if os(iOS)` fork.
         public static var defaultVariant: String {
+            if let override = variantOverride { return override }
             #if os(macOS)
             return gpuVariant
             #else
@@ -1162,6 +1169,20 @@ public enum ModelNames {
             #endif
         }
 
+        /// `gpu` / `ane` parsed from `FLUIDAUDIO_LUXTTS_VARIANT`, or `nil` when
+        /// unset/unrecognized (falls back to the platform default).
+        static var variantOverride: String? {
+            guard
+                let raw = ProcessInfo.processInfo.environment["FLUIDAUDIO_LUXTTS_VARIANT"]?
+                    .trimmingCharacters(in: .whitespacesAndNewlines).lowercased()
+            else { return nil }
+            switch raw {
+            case gpuVariant: return gpuVariant
+            case aneVariant: return aneVariant
+            default: return nil
+            }
+        }
+
         public static let tokensFile = "tokens.txt"
         public static let configFile = "config.json"
         public static let vocoder282File = "vocoder/Vocoder282.mlmodelc"
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsModelStore.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsModelStore.swift
index 158a77f1a..ec6f05ec1 100644
--- a/Sources/FluidAudio/TTS/LuxTts/LuxTtsModelStore.swift
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsModelStore.swift
@@ -56,10 +56,22 @@ public enum LuxTtsResourceDownloader {
 ///   - macOS loads the `gpu/` graphs with `.cpuAndGPU`. The original graph
 ///     must NOT run on the ANE (rel-pos attention loses precision there and
 ///     corrupts audio).
-///   - iOS loads the `ane/` graphs with `.cpuAndNeuralEngine` (100% ANE
-///     placement, ~25 MB jetsam-visible footprint).
+///   - iOS loads the `ane/` graphs with `.cpuAndNeuralEngine` (FmDecoder
+///     100% ANE-resident, TextEncoder 99%; ~25 MB jetsam-visible footprint).
 ///   - The vocoder runs with `.cpuAndGPU` everywhere (ISTFT + resample +
-///     crossover in-graph, ~2.3 ms on GPU).
+///     crossover in-graph, ~2.3 ms on GPU). It is only ~72% ANE-placeable
+///     and CPU_AND_NE compilation is flaky, so it never goes on the ANE.
+///
+/// The `ane/` and `gpu/` graphs share an IDENTICAL external I/O contract —
+/// same input/output names, shapes and fp32 dtype (TextEncoder:
+/// `tokens (1,256) i32` + `padding_mask (1,256)` → `token_embeds (1,256,100)`;
+/// FmDecoder: `x`/`text_condition`/`speech_condition (1,1024,100)` +
+/// `t`/`guidance_scale (1)` + `padding_mask (1,1024)` → `v (1,1024,100)`).
+/// The "ANE-canonical" rewrite (channel-axis pre-concat, `(1,C,1,S)` working
+/// layout) lives entirely INSIDE the MIL and transposes back before output,
+/// so `LuxTtsSynthesizer` drives both variants with the same tensor packing —
+/// no host-side adapter is required. Select the variant via `variant` (and
+/// the `FLUIDAUDIO_LUXTTS_VARIANT` override folded into `defaultVariant`).
 public actor LuxTtsModelStore {
 
     private let logger = AppLogger(category: "LuxTtsModelStore")
@@ -85,14 +97,22 @@ public actor LuxTtsModelStore {
     }
 
     private var encoderDecoderComputeUnits: MLComputeUnits {
-        if let override = computeUnitsOverride { return override }
-        return variant == ModelNames.LuxTts.aneVariant ? .cpuAndNeuralEngine : .cpuAndGPU
+        Self.encoderDecoderComputeUnits(variant: variant, override: computeUnitsOverride)
     }
 
     private var vocoderComputeUnits: MLComputeUnits {
         computeUnitsOverride ?? .cpuAndGPU
     }
 
+    /// Encoder/decoder compute-unit policy (pure; unit-tested). `ane/` → ANE,
+    /// everything else → GPU. An explicit `computeUnitsOverride` wins.
+    static func encoderDecoderComputeUnits(
+        variant: String, override: MLComputeUnits?
+    ) -> MLComputeUnits {
+        if let override { return override }
+        return variant == ModelNames.LuxTts.aneVariant ? .cpuAndNeuralEngine : .cpuAndGPU
+    }
+
     // MARK: - Loading
 
     public func loadIfNeeded(progressHandler: ProgressHandler? = nil) async throws {
diff --git a/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsVariantTests.swift b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsVariantTests.swift
new file mode 100644
index 000000000..97ab2004f
--- /dev/null
+++ b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsVariantTests.swift
@@ -0,0 +1,142 @@
+import CoreML
+import XCTest
+
+@testable import FluidAudio
+
+/// Wiring tests for the per-platform graph variant (`gpu/` on macOS,
+/// `ane/` on iOS). These are model-independent: they pin the compute-unit
+/// policy, the download file-set (so macOS never pulls `ane/` and iOS never
+/// pulls `gpu/`), and the fixed I/O shapes the synthesizer packs — which the
+/// `ane/` and `gpu/` FmDecoder graphs share byte-for-byte.
+final class LuxTtsVariantTests: XCTestCase {
+
+    // MARK: - Compute-unit policy
+
+    func testAneVariantUsesNeuralEngine() {
+        XCTAssertEqual(
+            LuxTtsModelStore.encoderDecoderComputeUnits(
+                variant: ModelNames.LuxTts.aneVariant, override: nil),
+            .cpuAndNeuralEngine)
+    }
+
+    func testGpuVariantUsesGpu() {
+        XCTAssertEqual(
+            LuxTtsModelStore.encoderDecoderComputeUnits(
+                variant: ModelNames.LuxTts.gpuVariant, override: nil),
+            .cpuAndGPU)
+    }
+
+    func testExplicitOverrideWinsForBothVariants() {
+        for variant in [ModelNames.LuxTts.gpuVariant, ModelNames.LuxTts.aneVariant] {
+            XCTAssertEqual(
+                LuxTtsModelStore.encoderDecoderComputeUnits(variant: variant, override: .cpuOnly),
+                .cpuOnly,
+                "override must win for variant \(variant)")
+        }
+    }
+
+    // MARK: - Download file-set (variant isolation)
+
+    func testAneVariantRequiresOnlyAneModels() {
+        let files = ModelNames.LuxTts.requiredFiles(variant: ModelNames.LuxTts.aneVariant)
+        XCTAssertTrue(files.contains("ane/TextEncoder.mlmodelc"))
+        XCTAssertTrue(files.contains("ane/FmDecoder.mlmodelc"))
+        // iOS must never drag in the gpu graph.
+        XCTAssertFalse(files.contains { $0.hasPrefix("gpu/") })
+    }
+
+    func testGpuVariantRequiresOnlyGpuModels() {
+        let files = ModelNames.LuxTts.requiredFiles(variant: ModelNames.LuxTts.gpuVariant)
+        XCTAssertTrue(files.contains("gpu/TextEncoder.mlmodelc"))
+        XCTAssertTrue(files.contains("gpu/FmDecoder.mlmodelc"))
+        // macOS must never drag in the ane graph.
+        XCTAssertFalse(files.contains { $0.hasPrefix("ane/") })
+    }
+
+    func testSharedAssetsAreRequiredForBothVariants() {
+        let shared: Set<String> = [
+            ModelNames.LuxTts.tokensFile,
+            ModelNames.LuxTts.configFile,
+            ModelNames.LuxTts.vocoder282File,
+            ModelNames.LuxTts.vocoder555File,
+        ]
+        for variant in [ModelNames.LuxTts.gpuVariant, ModelNames.LuxTts.aneVariant] {
+            let files = ModelNames.LuxTts.requiredFiles(variant: variant)
+            XCTAssertTrue(
+                shared.isSubset(of: files),
+                "variant \(variant) is missing shared assets \(shared.subtracting(files))")
+        }
+    }
+
+    // MARK: - FmDecoder I/O contract (shared ane/gpu external signature)
+
+    /// The synthesizer packs the FmDecoder inputs at these fixed shapes; the
+    /// compiled `ane/` and `gpu/` graphs both declare exactly these. A drift
+    /// here (e.g. a bucket change) would silently mispack the ANE decoder.
+    func testFmDecoderContractShapes() throws {
+        let featDim = LuxTtsConstants.featDim
+        let maxFrames = LuxTtsConstants.maxFrames
+        let maxTokens = LuxTtsConstants.maxTokens
+        XCTAssertEqual(featDim, 100)
+        XCTAssertEqual(maxFrames, 1024)
+        XCTAssertEqual(maxTokens, 256)
+
+        // x / text_condition / speech_condition: (1, 1024, 100)
+        let x = try MLMultiArray(shape: [1, maxFrames, featDim].map { NSNumber(value: $0) }, dataType: .float32)
+        XCTAssertEqual(x.shape.map { $0.intValue }, [1, 1024, 100])
+        // padding_mask: (1, 1024)
+        let mask = try MLMultiArray(shape: [1, maxFrames].map { NSNumber(value: $0) }, dataType: .float32)
+        XCTAssertEqual(mask.shape.map { $0.intValue }, [1, 1024])
+        // t / guidance_scale: (1)
+        let scalar = try MLMultiArray(shape: [NSNumber(value: 1)], dataType: .float32)
+        XCTAssertEqual(scalar.shape.map { $0.intValue }, [1])
+        // tokens: (1, 256) int32
+        let tokens = try MLMultiArray(shape: [1, maxTokens].map { NSNumber(value: $0) }, dataType: .int32)
+        XCTAssertEqual(tokens.shape.map { $0.intValue }, [1, 256])
+        XCTAssertEqual(tokens.dataType, .int32)
+    }
+
+    /// The FmDecoder `v` output is `(1, 1024, 100)` fp32 row-major, and CoreML
+    /// stride-pads the last dim on some backends. This mirrors the
+    /// synthesizer's `copyRows` unpack: read `featuresLength` rows of
+    /// `featDim` honoring the row stride, so an ANE stride-padded output is
+    /// de-padded correctly. Regression guard for the ANE unpack path.
+    func testStridePaddedOutputUnpack() throws {
+        let featDim = LuxTtsConstants.featDim
+        let rows = 8
+        let paddedRowLen = 112  // e.g. ANE/GPU pad 100 → 112
+
+        let backing = try MLMultiArray(
+            shape: [1, NSNumber(value: rows), NSNumber(value: paddedRowLen)],
+            dataType: .float32)
+        // Fill each active [row, d] cell with a unique sentinel; pad region 0.
+        backing.withUnsafeMutableBufferPointer(ofType: Float.self) { buf, _ in
+            for r in 0..<rows {
+                for d in 0..<paddedRowLen {
+                    buf[r * paddedRowLen + d] = d < featDim ? Float(r * 1000 + d) : -1
+                }
+            }
+        }
+
+        // Reproduce copyRows: honor the row stride (paddedRowLen), copy featDim.
+        var out = [Float](repeating: 0, count: rows * featDim)
+        let rowStride = backing.strides[1].intValue
+        XCTAssertEqual(rowStride, paddedRowLen, "expected stride-padded rows for this fixture")
+        backing.withUnsafeBufferPointer(ofType: Float.self) { src in
+            out.withUnsafeMutableBufferPointer { dst in
+                for r in 0..<rows {
+                    dst.baseAddress!.advanced(by: r * featDim)
+                        .update(from: src.baseAddress!.advanced(by: r * rowStride), count: featDim)
+                }
+            }
+        }
+
+        for r in 0..<rows {
+            for d in 0..<featDim {
+                XCTAssertEqual(
+                    out[r * featDim + d], Float(r * 1000 + d),
+                    "row \(r) dim \(d) mispacked — stride not honored")
+            }
+        }
+    }
+}

From 34ca7323a816a13bca29e2937f05886eab2416b9 Mon Sep 17 00:00:00 2001
From: Alex-Wengg <hanweng9@gmail.com>
Date: Wed, 8 Jul 2026 16:42:40 -0400
Subject: [PATCH 5/5] fix(tts/luxtts): resolve 3 CI failures (iOS isolation,
 G2P oracle, .txt ext)
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

Failure 1 (iOS build, region-based isolation error at the flow-matching
withUnsafeMutableBufferPointer/predict loop): drop the actor on
LuxTtsSynthesizer and make it a Sendable struct. The actor existed only to
store a non-Sendable LuxTtsMelExtractor; instead the extractor is now a
per-call local (so the struct is Sendable and safe to send across
LuxTtsManager's actor boundary), and its call-independent Hann-window /
mel-filterbank tables are hoisted into a process-wide Sendable cache so the
per-call construction only pays for the cheap vDSP DFT setup. Output is
byte-for-byte identical (verified 161792 samples, RMS 0.15827).

Failure 2 (LuxTtsG2pTests.testAllCapsSpellOut): the hand-authored expected
value ("ðə ...") was never run locally. The espeak oracle
(piper_phonemize en-us via EmiliaTokenizer) produces "ðɪ ˌɛfbˌiːˈaɪ kˈɔːld"
— the F=ɛf letter is vowel-initial, triggering the before-vowel weak form
of "the". Swift G2P already matches the oracle; fix the test expectation.
Re-verified every other string expectation in the file against the oracle;
all correct.

Failure 3 (ModelNamesTests.testModelFileExtensions): luxtts is the first
backend with a required .txt file (tokens.txt, a legitimate vocab file).
Add ".txt" to the test's validExtensions set (widen-only).
---
 .../TTS/LuxTts/LuxTtsMelExtractor.swift       | 26 ++++++++++++++++---
 .../TTS/LuxTts/LuxTtsSynthesizer.swift        | 13 ++++++----
 .../ASR/Parakeet/ModelNamesTests.swift        |  4 ++-
 .../TTS/LuxTts/LuxTtsG2pTests.swift           |  5 +++-
 4 files changed, 38 insertions(+), 10 deletions(-)

diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsMelExtractor.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsMelExtractor.swift
index 2fd254f3d..49db407ae 100644
--- a/Sources/FluidAudio/TTS/LuxTts/LuxTtsMelExtractor.swift
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsMelExtractor.swift
@@ -25,9 +25,13 @@ public final class LuxTtsMelExtractor {
     private let fftSetup: vDSP_DFT_Setup?
 
     public init() {
-        self.hannWindow = Self.periodicHannWindow(length: nFFT)
-        self.melFilterbankFlat = Self.htkMelFilterbank(
-            nFFT: nFFT, nMels: nMels, sampleRate: sampleRate)
+        // The window/filterbank are call-independent pure-value tables; pull
+        // them from a process-wide Sendable cache so repeated construction
+        // (the synthesizer builds one extractor per call to stay Sendable)
+        // only pays for the cheap vDSP DFT setup, not the table math.
+        let tables = Self.sharedTables
+        self.hannWindow = tables.hannWindow
+        self.melFilterbankFlat = tables.melFilterbankFlat
         self.fftSetup = vDSP_DFT_zop_CreateSetup(nil, vDSP_Length(nFFT), .FORWARD)
     }
 
@@ -129,6 +133,22 @@ public final class LuxTtsMelExtractor {
 
     // MARK: - Static tables
 
+    /// Call-independent tables shared across every extractor instance.
+    private struct Tables: Sendable {
+        let hannWindow: [Float]
+        let melFilterbankFlat: [Float]
+    }
+
+    /// Built once per process (pure `[Float]` values, immutable → Sendable).
+    private static let sharedTables: Tables = {
+        let nFFT = LuxTtsConstants.nFFT
+        return Tables(
+            hannWindow: periodicHannWindow(length: nFFT),
+            melFilterbankFlat: htkMelFilterbank(
+                nFFT: nFFT, nMels: LuxTtsConstants.nMels,
+                sampleRate: LuxTtsConstants.melSampleRate))
+    }()
+
     private static func periodicHannWindow(length: Int) -> [Float] {
         (0..<length).map { i in
             0.5 * (1.0 - cos(2.0 * Float.pi * Float(i) / Float(length)))
diff --git a/Sources/FluidAudio/TTS/LuxTts/LuxTtsSynthesizer.swift b/Sources/FluidAudio/TTS/LuxTts/LuxTtsSynthesizer.swift
index 13d5ec834..9736d3749 100644
--- a/Sources/FluidAudio/TTS/LuxTts/LuxTtsSynthesizer.swift
+++ b/Sources/FluidAudio/TTS/LuxTts/LuxTtsSynthesizer.swift
@@ -33,14 +33,10 @@ public struct LuxTtsSynthesisResult: Sendable {
 ///      samples and clipped to [-1, 1].
 ///   6. If the prompt RMS was below `targetRms`, scale the waveform back
 ///      down by `promptRms / targetRms` (upstream `rms_norm` contract).
-actor LuxTtsSynthesizer {
+struct LuxTtsSynthesizer {
 
     private let logger = AppLogger(category: "LuxTtsSynthesizer")
     private let store: LuxTtsModelStore
-    /// Call-independent (precomputed Hann window, mel filterbank, DFT setup),
-    /// so it is built once and reused across every synthesis call. Held on the
-    /// actor (a non-Sendable class, mirroring `StyleTTS2Synthesizer`).
-    private let extractor = LuxTtsMelExtractor()
 
     init(store: LuxTtsModelStore) {
         self.store = store
@@ -87,6 +83,13 @@ actor LuxTtsSynthesizer {
             vDSP_vsmul(prompt, 1, &gain, &prompt, 1, vDSP_Length(prompt.count))
         }
 
+        // The extractor holds a non-Sendable vDSP DFT setup; keeping it a
+        // per-call local (rather than a stored property) keeps the whole
+        // synthesizer `struct` `Sendable`, so this async method can be called
+        // across `LuxTtsManager`'s actor boundary without tripping the
+        // region-based isolation / sending checker. Its precomputed tables are
+        // pulled from a shared cache, so construction is cheap.
+        let extractor = LuxTtsMelExtractor()
         let promptMel = extractor.extract(audio: prompt)  // [T][100], unscaled
         let promptFrames = promptMel.count
         guard promptFrames > 0 else {
diff --git a/Tests/FluidAudioTests/ASR/Parakeet/ModelNamesTests.swift b/Tests/FluidAudioTests/ASR/Parakeet/ModelNamesTests.swift
index 53346c419..99a62f4bb 100644
--- a/Tests/FluidAudioTests/ASR/Parakeet/ModelNamesTests.swift
+++ b/Tests/FluidAudioTests/ASR/Parakeet/ModelNamesTests.swift
@@ -46,7 +46,9 @@ final class ModelNamesTests: XCTestCase {
     }
 
     func testModelFileExtensions() {
-        let validExtensions: Set<String> = [".mlmodelc", ".json", ".bin"]
+        // `.txt` covers vocab/token text files (e.g. LuxTTS `tokens.txt`),
+        // which are legitimate model artifacts.
+        let validExtensions: Set<String> = [".mlmodelc", ".json", ".bin", ".txt"]
         let validDirectories: Set<String> = ["constants_bin"]
 
         for repo in Repo.allCases {
diff --git a/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsG2pTests.swift b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsG2pTests.swift
index 677a29ff6..a942e7b66 100644
--- a/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsG2pTests.swift
+++ b/Tests/FluidAudioTests/TTS/LuxTts/LuxTtsG2pTests.swift
@@ -92,7 +92,10 @@ final class LuxTtsG2pTests: XCTestCase {
     }
 
     func testAllCapsSpellOut() {
-        assertPhonemes("the FBI called", "ðə ˌɛfbˌiːˈaɪ kˈɔːld")
+        // "FBI" spells out to ˌɛfbˌiːˈaɪ; the leading vowel of the F=ɛf letter
+        // triggers the before-vowel weak form of "the" (ðɪ, not ðə) — matching
+        // the espeak oracle (piper_phonemize en-us via EmiliaTokenizer).
+        assertPhonemes("the FBI called", "ðɪ ˌɛfbˌiːˈaɪ kˈɔːld")
     }
 
     func testPossessiveFallback() {