release: webgpu demo + source

- 6 voicepacks (added Priya + Arjun from SPRINGLab)
- voicepacks.json: single source of truth for voice list + per-gender chips
- dynamic voice dropdown + chips (replaces hardcoded HTML)
- ship full source (src/, package.json, tsconfig.json, vite.config.ts) so
forks can rebuild without de-minifying
- LFS: add glob assets/index-*.js + espeakng worker

.gitattributes

@@ -49,3 +49,8 @@ assets/index-BDXCV8Ud.js filter=lfs diff=lfs merge=lfs -text
 assets/index-HaFA3KMR.js filter=lfs diff=lfs merge=lfs -text
 assets/index-B0gBa3_t.js filter=lfs diff=lfs merge=lfs -text
 assets/index-C6vp9g9z.js filter=lfs diff=lfs merge=lfs -text
+
+# Vite-built hashed bundles (replaces per-file rules — covers all current and future builds)
+assets/index-*.js filter=lfs diff=lfs merge=lfs -text
+# espeak-ng-wasm worker (~18 MB; bundled engine + JS shim)
+src/espeakng/espeakng.worker.js filter=lfs diff=lfs merge=lfs -text

README.md

@@ -14,21 +14,58 @@ tags:
 - marathi
 - kokoro
 - webgpu
-- indic
+- on-device
 ---
 
-# 🪔 Bol TTS Marathi — WebGPU demo
+# bol-tts-marathi — Marathi TTS via WebGPU
 
-Marathi (मराठी) text-to-speech running entirely in your browser. Loads [shreyask/bol-tts-marathi-onnx](https://huggingface.co/shreyask/bol-tts-marathi-onnx) via transformers.js on WebGPU (falls back to WASM on Safari).
+In-browser Marathi (मराठी) text-to-speech, running real-time on WebGPU. Six voices, code-switch (Minglish) support, no server round-trip.
 
-Features:
-- Four voices: Asha (आशा), Vivek (विवेक), Mukta (मुक्ता), Dnyanesh (ज्ञानेश)
-- In-browser Marathi G2P via espeak-ng WASM (from hexgrad/kokoro's patched worker)
-- Per-word timestamps + live highlighting synchronized to audio
-- Click any word to seek
-- Indic-English-style phoneme remap toggle for Minglish (Marathi + English)
-- Warli-inspired UI (tribal art from Maharashtra)
+This Space ships **both the built demo** (`index.html` + `assets/` served directly) **and the full source** (`src/`, `package.json`, `tsconfig.json`, `vite.config.ts`) so anyone can fork the Space and rebuild without de-minifying the bundle.
 
-Full training recipe + reproducibility: [github.com/shreyaskarnik/bol-tts-marathi](https://github.com/shreyaskarnik/bol-tts-marathi)
+## What's in this Space
 
-Model card + weights: [huggingface.co/shreyask/bol-tts-marathi](https://huggingface.co/shreyask/bol-tts-marathi)
+| Path | Role |
+|---|---|
+| `index.html`, `assets/*` | built demo, served via static SDK |
+| `voices/*.bin` | 6 voicepacks (style vectors, 522 KB each) |
+| `voicepacks.json` | source-of-truth for voice list + per-gender test phrases |
+| `src/` | TypeScript source (phonemizer, tokenizer, model wrapper, UI wiring) |
+| `public/` | static assets fed to the build |
+| `package.json`, `tsconfig.json`, `vite.config.ts` | reproducible build config |
+| `index.template.html` | the source-side index.html that Vite injects modules into |
+
+## Reproduce locally
+
+```bash
+git clone https://huggingface.co/spaces/<USER>/<THIS-SPACE>
+cd <THIS-SPACE>
+npm install
+npm run dev      # local dev server at http://localhost:5173
+npm run build    # produces dist/ — same artifacts shipped here
+```
+
+## How it works
+
+- 82M-parameter Kokoro fine-tune for Marathi (model: [`shreyask/bol-tts-marathi-onnx`](https://huggingface.co/shreyask/bol-tts-marathi-onnx))
+- `@huggingface/transformers` loads the ONNX model into WebGPU (or falls back to WASM)
+- `espeak-ng-wasm` phonemizes Marathi + Indian English; we parse `(en)/(mr)` tags for per-segment Indian-accent rules on English chunks
+- 6 voices via single shared model + per-voice 256-D style vectors (`voices/*.bin`, [510, 1, 256] float32)
+- Test phrases + voice metadata in `voicepacks.json` — edit to add voices, no code changes needed
+
+Recipe + training scripts: [github.com/shreyaskarnik/bol-tts-marathi](https://github.com/shreyaskarnik/bol-tts-marathi)
+
+## Voices
+
+| ID | Name | Gender | Source | Status |
+|---|---|---|---|---|
+| `mf_asha` | Asha (आशा) | female | Rasa Marathi | stable |
+| `mm_vivek` | Vivek (विवेक) | male | Rasa Marathi | stable |
+| `mf_mukta` | Mukta (मुक्ता) | female | IndicVoices-R | stable |
+| `mm_dnyanesh` | Dnyanesh (ज्ञानेश) | male | IndicVoices-R | stable |
+| `mf_priya` | Priya (प्रिया) | female | SPRINGLab IndicTTS | v0.2 preview |
+| `mm_arjun` | Arjun (अर्जुन) | male | SPRINGLab IndicTTS | v0.2 preview |
+
+## License
+
+Apache 2.0. See LICENSE.

assets/index-BZq4ShBi.js

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bf6bfe9f328713c187f76ce5514e829945d5c9337022587cdca68885f6040469
+size 19064726

index.html

@@ -17,7 +17,7 @@
       rel="stylesheet"
     />
 
-    <script type="module" crossorigin src="/assets/index-C6vp9g9z.js"></script>
+    <script type="module" crossorigin src="/assets/index-BZq4ShBi.js"></script>
     <link rel="stylesheet" crossorigin href="/assets/index-BdhRcMoO.css">
   </head>
   <body>
@@ -76,89 +76,19 @@
 पावसाच्या संध्याकाळी शनिवारवाड्याजवळ गरम कटिंग चहा घेत मी मित्रांना म्हणालो, “आज आकाशातला प्रत्येक ढग एखादी नवी गोष्ट सांगतोय.”</textarea
         >
 
-        <div class="examples">
+        <!-- chips populated dynamically from public/voicepacks.json (test_phrases.*) -->
+        <div class="examples" id="chips-marathi">
           <span class="examples-label">मराठी:</span>
-          <button
-            class="chip"
-            data-text="आज हवामान खूप छान आहे, पाऊस पडतो आहे."
-          >
-            हवामान
-          </button>
-          <button
-            class="chip"
-            data-text="महाराष्ट्र हे भारतातील एक महत्त्वाचे राज्य आहे."
-          >
-            महाराष्ट्र
-          </button>
-          <button
-            class="chip"
-            data-text="मुंबई ही महाराष्ट्राची राजधानी आणि भारताची आर्थिक राजधानी आहे."
-          >
-            मुंबई
-          </button>
-          <button
-            class="chip"
-            data-text="पुणे ही महाराष्ट्राची सांस्कृतिक राजधानी मानली जाते."
-          >
-            पुणे
-          </button>
-          <button class="chip" data-text="एक दोन तीन चार पाच सहा सात आठ.">
-            आकडे
-          </button>
-          <button
-            class="chip"
-            data-text="पूर्वी एका छोट्या गावात एक शहाणा शेतकरी राहत होता."
-          >
-            कथा
-          </button>
-          <button
-            class="chip"
-            data-text="गुढी पाडवा हा मराठी नववर्षाचा सण आहे."
-          >
-            गुढी पाडवा
-          </button>
-          <button
-            class="chip"
-            data-text="पावसाळी संध्याकाळी गरम भजी आणि कटिंग चहा म्हणजे स्वर्गच!"
-          >
-            भजी
-          </button>
-          <button
-            class="chip"
-            data-text="मुंबईचा वडापाव आणि पुण्याचा चहा — आपली खरी ओळख."
-          >
-            वडापाव
-          </button>
         </div>
-        <div class="examples">
+        <div class="examples" id="chips-minglish">
           <span class="examples-label">Minglish:</span>
-          <button class="chip" data-text="मी Google मध्ये काम करतो.">
-            Google job
-          </button>
-          <button class="chip" data-text="आज मीटिंग ला late झालो.">
-            late meeting
-          </button>
-          <button class="chip" data-text="Coffee पिऊया का?">coffee?</button>
-          <button
-            class="chip"
-            data-text="Artificial intelligence ही technology खूप amazing आहे."
-          >
-            AI tech
-          </button>
-          <button class="chip" data-text="Weekend ला movie बघायचा plan आहे का?">
-            weekend plan
-          </button>
         </div>
 
         <div class="controls">
           <label
             >आवाज · Voice
-            <select id="voice">
-              <option value="mf_asha">Asha (आशा) — female</option>
-              <option value="mm_vivek">Vivek (विवेक) — male</option>
-              <option value="mf_mukta">Mukta (मुक्ता) — female</option>
-              <option value="mm_dnyanesh">Dnyanesh (ज्ञानेश) — male</option>
-            </select>
+            <!-- options populated dynamically from public/voicepacks.json (voices[]) -->
+            <select id="voice"></select>
           </label>
           <label class="speed-control">
             <span class="speed-control-row">

index.template.html

@@ -0,0 +1,224 @@
+<!doctype html>
+<html lang="mr">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <link
+      rel="icon"
+      type="image/svg+xml"
+      href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 64 64'%3E%3Ctext y='48' font-size='48'%3E%F0%9F%AA%94%3C/text%3E%3C/svg%3E"
+    />
+    <title>बोल — Marathi TTS · WebGPU</title>
+
+    <link rel="preconnect" href="https://fonts.googleapis.com" />
+    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
+    <link
+      href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600&family=Tiro+Devanagari+Marathi&family=Yatra+One&display=swap"
+      rel="stylesheet"
+    />
+
+    <link rel="stylesheet" href="/src/styles.css" />
+  </head>
+  <body>
+    <!-- Warli tribal art strip: dancers, hut, deer, microphones, sun motifs.
+         Custom-illustrated band in the style of traditional Warli wall paintings
+         from Maharashtra. Microphones are a contemporary addition reflecting
+         the TTS theme. -->
+    <div class="warli-strip" aria-hidden="true">
+      <img src="/warli-strip.svg" alt="" />
+    </div>
+
+    <main>
+      <header>
+        <h1>बोल</h1>
+        <span class="namaste">Marathi Text-to-Speech</span>
+        <p>
+          Kokoro-82M fine-tuned for
+          <a
+            href="https://en.wikipedia.org/wiki/Marathi_language"
+            target="_blank"
+            rel="noopener"
+            >मराठी</a
+          >
+          · runs in your browser via WebGPU
+        </p>
+      </header>
+
+      <section id="status" class="card status">initializing…</section>
+
+      <section class="card model-gate" id="model-gate" hidden>
+        <div class="model-gate-text">
+          <strong>Tap to load the TTS model</strong> (~325 MB fp32 ONNX ·
+          one-time download, browser-cached)<br />
+          <span class="model-gate-sub">
+            fp32 is the recommended precision for Kokoro on WebGPU (matches
+            kokoro.js + HeadTTS defaults; int8 breaks ISTFTNet decoder audio
+            quality). Plus ~40 MB for onnxruntime-web WASM + espeak-ng worker.
+          </span>
+        </div>
+        <button id="load-model" class="primary">Load model</button>
+      </section>
+
+      <section class="card">
+        <div class="text-label-row">
+          <label for="text">मराठी मजकूर — Marathi text (Devanagari)</label>
+          <button
+            id="transliterate"
+            class="text-tool"
+            title="Transliterate Latin → Devanagari using ITRANS scheme. e.g. 'namaskaar majhe naav amit aahe' → 'नमस्कार माझे नाव अमित आहे'. Edit the result before synthesizing if needed."
+            type="button"
+          >
+            A·a → अ
+          </button>
+        </div>
+        <textarea id="text" rows="3">
+पावसाच्या संध्याकाळी शनिवारवाड्याजवळ गरम कटिंग चहा घेत मी मित्रांना म्हणालो, “आज आकाशातला प्रत्येक ढग एखादी नवी गोष्ट सांगतोय.”</textarea
+        >
+
+        <!-- chips populated dynamically from public/voicepacks.json (test_phrases.*) -->
+        <div class="examples" id="chips-marathi">
+          <span class="examples-label">मराठी:</span>
+        </div>
+        <div class="examples" id="chips-minglish">
+          <span class="examples-label">Minglish:</span>
+        </div>
+
+        <div class="controls">
+          <label
+            >आवाज · Voice
+            <!-- options populated dynamically from public/voicepacks.json (voices[]) -->
+            <select id="voice"></select>
+          </label>
+          <label class="speed-control">
+            <span class="speed-control-row">
+              <span>गती · Speed</span>
+              <span id="speed-val">1.00×</span>
+            </span>
+            <input
+              id="speed"
+              type="range"
+              min="0.5"
+              max="1.5"
+              step="0.05"
+              value="1.0"
+            />
+          </label>
+          <button id="synth" class="primary">Synthesize</button>
+        </div>
+      </section>
+
+      <section class="card" id="output-section" hidden>
+        <audio id="audio" hidden></audio>
+        <div class="player">
+          <button
+            id="playpause"
+            class="playpause"
+            title="Play / Pause (space)"
+            aria-label="Play / Pause"
+          >
+            ▶
+          </button>
+          <div class="player-main">
+            <canvas
+              id="waveform"
+              class="waveform"
+              tabindex="0"
+              aria-label="Click to seek"
+            ></canvas>
+            <div class="player-time">
+              <span id="time-cur">0:00</span>
+              <span id="time-total">0:00</span>
+            </div>
+          </div>
+        </div>
+
+        <!-- Primary transcript: each word highlighted as audio plays.
+             Click a word to seek there. Expand the summary below for IPA + timing. -->
+        <div
+          class="transcript-compact"
+          id="transcript-compact"
+          title="Click any word to seek playback to it"
+        ></div>
+
+        <details class="transcript-details" id="transcript-details">
+          <summary>Per-word IPA + timing</summary>
+          <div class="sidebyside" id="transcript">
+            <div
+              class="col-head"
+              title="Devanagari script — Marathi text as written. Each row is one word from your input."
+            >
+              देवनागरी
+            </div>
+            <div
+              class="col-head"
+              title="International Phonetic Alphabet — how each word is pronounced. These are the phonemes fed to the model (via the espeak-ng WASM worker running in your browser)."
+            >
+              IPA
+            </div>
+            <div
+              class="col-head"
+              title="Start and end time of each word in the synthesized audio, predicted by Kokoro's prosody model (pred_dur). The bar fills progressively as the word is playing."
+            >
+              timing
+            </div>
+            <!-- rows injected by main.ts -->
+          </div>
+        </details>
+
+        <aside class="facts">
+          🪔 <strong>मराठी phoneme fact:</strong> Marathi's retroflex lateral
+          <span class="ipa-inline">ɭ</span> (ळ) is unusual among Indic languages
+          — Hindi doesn't have it. We added <span class="ipa-inline">ɭ</span> to
+          Kokoro's vocabulary at slot 144 (replacing an unused placeholder) so
+          the model could learn ळ cleanly during fine-tuning. Listen for it in
+          "केळी" (banana) or "सकाळ" (morning).
+        </aside>
+
+        <details class="details">
+          <summary>All phonemes + raw timings (debug)</summary>
+          <pre id="phonemes" class="phonemes"></pre>
+          <pre id="word-timings" class="word-timings"></pre>
+        </details>
+      </section>
+
+      <footer>
+        <p>
+          Model
+          <a
+            href="https://huggingface.co/shreyask/bol-tts-marathi-onnx"
+            target="_blank"
+            rel="noopener"
+            >shreyask/bol-tts-marathi-onnx</a
+          >
+          · recipe
+          <a
+            href="https://github.com/shreyaskarnik/bol-tts-marathi"
+            target="_blank"
+            rel="noopener"
+            >github.com/shreyaskarnik/bol-tts-marathi</a
+          >
+          · built on
+          <a
+            href="https://github.com/hexgrad/kokoro"
+            target="_blank"
+            rel="noopener"
+            >Kokoro-82M</a
+          >
+          via
+          <a
+            href="https://github.com/semidark/kokoro-deutsch"
+            target="_blank"
+            rel="noopener"
+            >kokoro-deutsch</a
+          >
+        </p>
+      </footer>
+    </main>
+
+    <div class="warli-strip warli-strip--bottom" aria-hidden="true">
+      <img src="/warli-strip.svg" alt="" />
+    </div>
+
+    <script type="module" src="/src/main.ts"></script>
+  </body>
+</html>

package-lock.json

@@ -0,0 +1,2006 @@
+{
+  "name": "bol-tts-marathi-webgpu-demo",
+  "version": "0.1.0",
+  "lockfileVersion": 3,
+  "requires": true,
+  "packages": {
+    "": {
+      "name": "bol-tts-marathi-webgpu-demo",
+      "version": "0.1.0",
+      "license": "Apache-2.0",
+      "dependencies": {
+        "@huggingface/transformers": "4.2.0",
+        "@indic-transliteration/sanscript": "^1.3.3"
+      },
+      "devDependencies": {
+        "typescript": "^5.6.3",
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+        "vite": "bin/vite.js"
+      },
+      "engines": {
+        "node": "^18.0.0 || >=20.0.0"
+      },
+      "funding": {
+        "url": "https://github.com/vitejs/vite?sponsor=1"
+      },
+      "optionalDependencies": {
+        "fsevents": "~2.3.3"
+      },
+      "peerDependencies": {
+        "@types/node": "^18.0.0 || >=20.0.0",
+        "less": "*",
+        "lightningcss": "^1.21.0",
+        "sass": "*",
+        "sass-embedded": "*",
+        "stylus": "*",
+        "sugarss": "*",
+        "terser": "^5.4.0"
+      },
+      "peerDependenciesMeta": {
+        "@types/node": {
+          "optional": true
+        },
+        "less": {
+          "optional": true
+        },
+        "lightningcss": {
+          "optional": true
+        },
+        "sass": {
+          "optional": true
+        },
+        "sass-embedded": {
+          "optional": true
+        },
+        "stylus": {
+          "optional": true
+        },
+        "sugarss": {
+          "optional": true
+        },
+        "terser": {
+          "optional": true
+        }
+      }
+    }
+  }
+}

package.json

@@ -0,0 +1,21 @@
+{
+  "name": "bol-tts-marathi-webgpu-demo",
+  "version": "0.1.0",
+  "private": true,
+  "type": "module",
+  "description": "In-browser Marathi TTS demo for shreyask/bol-tts-marathi-onnx",
+  "license": "Apache-2.0",
+  "scripts": {
+    "dev": "vite",
+    "build": "tsc && vite build",
+    "preview": "vite preview"
+  },
+  "dependencies": {
+    "@huggingface/transformers": "4.2.0",
+    "@indic-transliteration/sanscript": "^1.3.3"
+  },
+  "devDependencies": {
+    "typescript": "^5.6.3",
+    "vite": "^5.4.11"
+  }
+}

public/config.json

@@ -0,0 +1,177 @@
+{
+  "istftnet": {
+    "upsample_kernel_sizes": [
+      20,
+      12
+    ],
+    "upsample_rates": [
+      10,
+      6
+    ],
+    "gen_istft_hop_size": 5,
+    "gen_istft_n_fft": 20,
+    "resblock_dilation_sizes": [
+      [
+        1,
+        3,
+        5
+      ],
+      [
+        1,
+        3,
+        5
+      ],
+      [
+        1,
+        3,
+        5
+      ]
+    ],
+    "resblock_kernel_sizes": [
+      3,
+      7,
+      11
+    ],
+    "upsample_initial_channel": 512
+  },
+  "dim_in": 64,
+  "dropout": 0.2,
+  "hidden_dim": 512,
+  "max_conv_dim": 512,
+  "max_dur": 50,
+  "multispeaker": true,
+  "n_layer": 3,
+  "n_mels": 80,
+  "n_token": 178,
+  "style_dim": 128,
+  "text_encoder_kernel_size": 5,
+  "plbert": {
+    "hidden_size": 768,
+    "num_attention_heads": 12,
+    "intermediate_size": 2048,
+    "max_position_embeddings": 512,
+    "num_hidden_layers": 12,
+    "dropout": 0.1
+  },
+  "vocab": {
+    ";": 1,
+    ":": 2,
+    ",": 3,
+    ".": 4,
+    "!": 5,
+    "?": 6,
+    "—": 9,
+    "…": 10,
+    "\"": 11,
+    "(": 12,
+    ")": 13,
+    "“": 14,
+    "”": 15,
+    " ": 16,
+    "̃": 17,
+    "ʣ": 18,
+    "ʥ": 19,
+    "ʦ": 20,
+    "ʨ": 21,
+    "ᵝ": 22,
+    "ꭧ": 23,
+    "A": 24,
+    "I": 25,
+    "O": 31,
+    "Q": 33,
+    "S": 35,
+    "T": 36,
+    "W": 39,
+    "Y": 41,
+    "ᵊ": 42,
+    "a": 43,
+    "b": 44,
+    "c": 45,
+    "d": 46,
+    "e": 47,
+    "f": 48,
+    "h": 50,
+    "i": 51,
+    "j": 52,
+    "k": 53,
+    "l": 54,
+    "m": 55,
+    "n": 56,
+    "o": 57,
+    "p": 58,
+    "q": 59,
+    "r": 60,
+    "s": 61,
+    "t": 62,
+    "u": 63,
+    "v": 64,
+    "w": 65,
+    "x": 66,
+    "y": 67,
+    "z": 68,
+    "ɑ": 69,
+    "ɐ": 70,
+    "ɒ": 71,
+    "æ": 72,
+    "β": 75,
+    "ɔ": 76,
+    "ɕ": 77,
+    "ç": 78,
+    "ɖ": 80,
+    "ð": 81,
+    "ʤ": 82,
+    "ə": 83,
+    "ɚ": 85,
+    "ɛ": 86,
+    "ɜ": 87,
+    "ɟ": 90,
+    "ɡ": 92,
+    "ɥ": 99,
+    "ɨ": 101,
+    "ɪ": 102,
+    "ʝ": 103,
+    "ɯ": 110,
+    "ɰ": 111,
+    "ŋ": 112,
+    "ɳ": 113,
+    "ɲ": 114,
+    "ɴ": 115,
+    "ø": 116,
+    "ɸ": 118,
+    "θ": 119,
+    "œ": 120,
+    "ɹ": 123,
+    "ɾ": 125,
+    "ɻ": 126,
+    "ʁ": 128,
+    "ɽ": 129,
+    "ʂ": 130,
+    "ʃ": 131,
+    "ʈ": 132,
+    "ʧ": 133,
+    "ʊ": 135,
+    "ʋ": 136,
+    "ʌ": 138,
+    "ɣ": 139,
+    "ɤ": 140,
+    "χ": 142,
+    "ʎ": 143,
+    "ʒ": 147,
+    "ʔ": 148,
+    "ˈ": 156,
+    "ˌ": 157,
+    "ː": 158,
+    "ʰ": 162,
+    "ʲ": 164,
+    "↓": 169,
+    "→": 171,
+    "↗": 172,
+    "↘": 173,
+    "ᵻ": 177,
+    "ɭ": 144
+  },
+  "model_type": "style_text_to_speech_2",
+  "architectures": [
+    "StyleTextToSpeech2Model"
+  ]
+}

public/voice_speeds.json

@@ -0,0 +1,20 @@
+{
+  "_description": "Per-voice optimal speed for Kokoro Marathi. Tuned on Stage 2 epoch 2 checkpoint; may shift after full Stage 2 run.",
+  "_reference_sentence": "\u0928\u092e\u0938\u094d\u0915\u093e\u0930! \u092e\u0932\u093e \u0915\u0947\u0933\u0940 \u0906\u0923\u093f \u0906\u0902\u092c\u093e \u0906\u0935\u0921\u0924\u094b.",
+  "mf_asha": {
+    "speed": 0.85,
+    "notes": "User-validated"
+  },
+  "mm_vivek": {
+    "speed": null,
+    "notes": "TBD \u2014 likely similar to Asha (0.85-1.0) since both Rasa"
+  },
+  "mf_mukta": {
+    "speed": 1.0,
+    "notes": "IndicTTS female"
+  },
+  "mm_dnyanesh": {
+    "speed": 1.0,
+    "notes": "IndicTTS male"
+  }
+}

public/voicepacks.json

@@ -0,0 +1,92 @@
+{
+  "$schema_version": 1,
+  "_comment": "Source of truth for the bol-tts-marathi WebGPU demo's voice list + per-voice metadata + test phrases. Edit this to add/remove voices or update sample chips — main.ts consumes it dynamically on page load.",
+  "voices": [
+    {
+      "id": "mf_asha",
+      "name": "Asha",
+      "name_native": "आशा",
+      "gender": "female",
+      "source": "rasa",
+      "default_speed": 1.0,
+      "ship_status": "stable"
+    },
+    {
+      "id": "mm_vivek",
+      "name": "Vivek",
+      "name_native": "विवेक",
+      "gender": "male",
+      "source": "rasa",
+      "default_speed": 1.0,
+      "ship_status": "stable"
+    },
+    {
+      "id": "mf_mukta",
+      "name": "Mukta",
+      "name_native": "मुक्ता",
+      "gender": "female",
+      "source": "indicvoices_r",
+      "default_speed": 1.0,
+      "ship_status": "stable"
+    },
+    {
+      "id": "mm_dnyanesh",
+      "name": "Dnyanesh",
+      "name_native": "ज्ञानेश",
+      "gender": "male",
+      "source": "indicvoices_r",
+      "default_speed": 1.0,
+      "ship_status": "stable"
+    },
+    {
+      "id": "mf_priya",
+      "name": "Priya",
+      "name_native": "प्रिया",
+      "gender": "female",
+      "source": "springlab",
+      "default_speed": 1.0,
+      "ship_status": "v0.2_preview"
+    },
+    {
+      "id": "mm_arjun",
+      "name": "Arjun",
+      "name_native": "अर्जुन",
+      "gender": "male",
+      "source": "springlab",
+      "default_speed": 1.0,
+      "ship_status": "v0.2_preview"
+    }
+  ],
+  "test_phrases": {
+    "marathi_neutral": [
+      { "label": "हवामान", "text": "आज हवामान खूप छान आहे, पाऊस पडतो आहे." },
+      { "label": "महाराष्ट्र", "text": "महाराष्ट्र हे भारतातील एक महत्त्वाचे राज्य आहे." },
+      { "label": "मुंबई", "text": "मुंबई ही महाराष्ट्राची राजधानी आणि भारताची आर्थिक राजधानी आहे." },
+      { "label": "पुणे", "text": "पुणे ही महाराष्ट्राची सांस्कृतिक राजधानी मानली जाते." },
+      { "label": "आकडे", "text": "एक दोन तीन चार पाच सहा सात आठ." },
+      { "label": "कथा", "text": "पूर्वी एका छोट्या गावात एक शहाणा शेतकरी राहत होता." },
+      { "label": "गुढी पाडवा", "text": "गुढी पाडवा हा मराठी नववर्षाचा सण आहे." },
+      { "label": "भजी", "text": "पावसाळी संध्याकाळी गरम भजी आणि कटिंग चहा म्हणजे स्वर्गच!" },
+      { "label": "वडापाव", "text": "मुंबईचा वडापाव आणि पुण्याचा चहा — आपली खरी ओळख." }
+    ],
+    "marathi_female": [
+      { "label": "थकले", "text": "आज खूप काम केले, मी थकले आहे." }
+    ],
+    "marathi_male": [
+      { "label": "थकलो", "text": "आज खूप काम केले, मी थकलो आहे." }
+    ],
+    "minglish_neutral": [
+      { "label": "coffee?", "text": "Coffee पिऊया का?" },
+      { "label": "AI tech", "text": "Artificial intelligence ही technology खूप amazing आहे." },
+      { "label": "weekend plan", "text": "Weekend ला movie बघायचा plan आहे का?" }
+    ],
+    "minglish_female": [
+      { "label": "Google job", "text": "मी Google मध्ये काम करते." },
+      { "label": "late meeting", "text": "आज meeting ला late झाले." }
+    ],
+    "minglish_male": [
+      { "label": "Google job", "text": "मी Google मध्ये काम करतो." },
+      { "label": "late meeting", "text": "आज meeting ला late झालो." }
+    ]
+  }
+}

public/voices/mf_asha.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:57784e5f6853a66605c897d9d4489e509e5c686f5cd95027f6d4ef9119115bea
+size 522240

public/voices/mf_mukta.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4fbc32a8b5a067a828a1a43c360d8d0576873f69019b4c60cd9efa45c226412e
+size 522240

public/voices/mf_priya.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c09561d3fda1dfddb88c461a79ff5d518198035a8906feece9fe38d6973225a1
+size 522240

public/voices/mm_arjun.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2eb6136af364a684e0504a77817e54ce6a96771284dee629c0d938e76b334b0
+size 522240

public/voices/mm_dnyanesh.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5582a30e89860d4999ac1e1a82bc410c5e8401ea2cea0d377bdfeeaeba72ddff
+size 522240

public/voices/mm_vivek.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:31668f284533bc72637781214b143fbfcef8519964067d40438df8d9cb66821e
+size 522240

src/espeakng/espeakng.worker.js

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ab1eaf96aa5d5b5fb76e264d440e9cb7672b7a2becead3fc0b1f75956d607398
+size 18528868

src/espeakng/phonemizer.ts

@@ -0,0 +1,238 @@
+/**
+ * In-browser Marathi G2P via espeak-ng WASM.
+ *
+ * Uses the patched espeakng.worker.js from hexgrad/kokoro (same Emscripten
+ * build as @echogarden/espeak-ng-emscripten, but the kokoro PR #262 worker
+ * ships cleanly for direct ESM import). ~18.5 MB; loaded lazily on first call.
+ *
+ * Produces IPA identical to the training-side misaki+espeak-ng pipeline.
+ */
+
+// eslint-disable-next-line @typescript-eslint/ban-ts-comment
+// @ts-ignore — the worker.js doesn't ship types
+import Module from "./espeakng.worker.js";
+
+const SUPPORTED_LANGUAGES = ["en", "mr", "hi"];
+
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+let workerPromise: Promise<any> | null = null;
+// eslint-disable-next-line @typescript-eslint/no-explicit-any
+let voicesCache: Promise<{ identifiers: Set<string> }> | null = null;
+
+function getWorker() {
+  if (!workerPromise) {
+    workerPromise = new Promise((resolve) => {
+      if (Module.calledRun) resolve(new Module.eSpeakNGWorker());
+      else Module.onRuntimeInitialized = () => resolve(new Module.eSpeakNGWorker());
+    });
+  }
+  return workerPromise;
+}
+
+function initVoices() {
+  if (!voicesCache) {
+    voicesCache = getWorker().then((worker) => {
+      const voices = worker.list_voices()
+        // eslint-disable-next-line @typescript-eslint/no-explicit-any
+        .map(({ name, identifier, languages }: any) => ({
+          name,
+          identifier,
+          // eslint-disable-next-line @typescript-eslint/no-explicit-any
+          languages: languages.filter((l: any) =>
+            SUPPORTED_LANGUAGES.includes(l.name.split("-")[0]),
+          ),
+        }))
+        // eslint-disable-next-line @typescript-eslint/no-explicit-any
+        .filter((v: any) => v.languages.length > 0);
+      const identifiers = new Set<string>();
+      for (const v of voices) {
+        identifiers.add(v.identifier);
+        // eslint-disable-next-line @typescript-eslint/no-explicit-any
+        for (const l of v.languages) identifiers.add(l.name);
+      }
+      return { identifiers };
+    });
+  }
+  return voicesCache;
+}
+
+// espeak-ng marks language-switched runs with `(xx)` tags — e.g. an English
+// word inside a Marathi sentence comes out as `mˈi (en)ɡˈuːɡəl(mr) mˈədʰeː`.
+// Tags reaching the tokenizer would corrupt it, but the language info itself
+// is gold: it tells us per-phoneme which voice produced what. We use it to
+// apply per-segment remap rules (English code-switches get Indic-English
+// treatment; Marathi gets only espeak-mr bug fixes), then drop the tags.
+const LANG_TAG_SPLIT = /\(([a-z]{2,3}(?:-[a-z0-9]+)?)\)/g;
+
+function parseTaggedIpa(
+  raw: string,
+  defaultLang: string,
+): Array<{ lang: string; ipa: string }> {
+  // Split with a capture group: result alternates [text, lang, text, lang, ...].
+  const parts = raw.split(LANG_TAG_SPLIT);
+  const segments: Array<{ lang: string; ipa: string }> = [];
+  let lang = defaultLang;
+  for (let i = 0; i < parts.length; i++) {
+    if (i % 2 === 0) {
+      if (parts[i]) segments.push({ lang, ipa: parts[i] });
+    } else {
+      lang = parts[i];
+    }
+  }
+  return segments;
+}
+
+// espeak-ng emits some affricates as two-character digraphs (d + ʒ, t + ʃ, t + s)
+// while Kokoro's vocab uses precomposed single characters (ʤ, ʧ, ʦ). Without
+// normalization, the tokenizer drops the bare `ʒ`/`ʃ` and we lose the affricate
+// ("technology" → "technolod(ʒ)i" → "technolodi"). Always applied.
+const DIGRAPH_NORMALIZE: Array<[RegExp, string]> = [
+  [/dʒ/g, "ʤ"],
+  [/tʃ/g, "ʧ"],
+  [/ts/g, "ʦ"],
+];
+
+// espeak-ng's Marathi voice has IPA bugs that aren't dialectal — they're flat
+// wrong (no Marathi dialect uses these sounds). We patch them on `mr` segments:
+//   - `ɹ` (English alveolar approximant) — Marathi र is a tap /ɾ/, never /ɹ/.
+//   - `ɪ` (English lax i) — Marathi has only short /i/ and long /iː/.
+//   - Anusvara before a labial (ब, भ, प, फ, व): Marathi phonotactics says the
+//     anusvara assimilates to /m/ (the homorganic nasal). espeak sometimes
+//     collapses this to vowel-nasalization only (मुंबई → mũbiː instead of
+//     mumbiː) so Mumbai sounds like "mubi". Re-insert the missing /m/.
+// NOTE: `z` is NOT in this list. Marathi ज has two valid pronunciations —
+// /ʤ/ (जा) and /z/ (आज, झाडू, loanwords) — and espeak-mr correctly emits
+// whichever fits. Remapping z→ʤ here would corrupt words like आज.
+const MARATHI_FIXES: Array<[RegExp, string]> = [
+  [/ɹ/g,  "ɾ"],
+  [/ɪ/g,  "i"],
+  // Anusvara-to-labial: मुं → mum (not mũ).
+  [/ũ(?=[bpmfv])/g, "um"],
+  [/ã(?=[bpmfv])/g, "am"],
+  [/ĩ(?=[bpmfv])/g, "im"],
+  [/õ(?=[bpmfv])/g, "om"],
+  [/ẽ(?=[bpmfv])/g, "em"],
+  // Anusvara-to-velar: कटिं + ग → kəʈiŋ (not kəʈĩ). Same bug pattern in a
+  // different place of articulation — espeak collapses the ŋ into vowel
+  // nasalization when followed by क/ख/ग/घ (IPA: k, kʰ, ɡ, ɡʰ).
+  [/ũ(?=[kɡ])/g, "uŋ"],
+  [/ã(?=[kɡ])/g, "aŋ"],
+  [/ĩ(?=[kɡ])/g, "iŋ"],
+  [/õ(?=[kɡ])/g, "oŋ"],
+  [/ẽ(?=[kɡ])/g, "eŋ"],
+  // Stress placement: Marathi favors first-syllable or first-heavy-syllable
+  // stress, but espeak-mr often puts primary stress `ˈ` on later long vowels
+  // and demotes the first syllable to secondary `ˌ` (Mumbai → mˌumbˈiː should
+  // be mˈumbˌiː). Swap the first secondary-before-primary pair per word.
+  // NOTE: We *only* swap when both ˈ and ˌ exist — this is a high-confidence
+  // signal that espeak had the right stress position but chose the wrong
+  // level. A broader "move lone ˈ to start" rule was tried and regressed
+  // legitimately middle-stressed words (मित्रांना → audio dropout), so we
+  // trust espeak when it emits a bare primary stress.
+  [/ˌ([^ˈˌ]*)ˈ/, "ˈ$1ˌ"],
+];
+
+// Additional remaps for English-only phonemes with no native Marathi slot.
+// Applied to `en` segments (in addition to MARATHI_FIXES) so code-switch words
+// route through densely-trained Indic slots and sound naturally Indic-accented
+// — which matches how Marathi speakers actually pronounce these words. The
+// alternative (raw English IPA) would hit undertrained slots in the fine-tune.
+const ENGLISH_INDIC_EXTRAS: Array<[RegExp, string]> = [
+  [/z/g,  "ʤ"],   // "amazing" → "amaJing", "zoo" → "joo"  (Indic-English only;
+                  // Marathi keeps native /z/ in words like आज)
+  [/θ/g,  "t"],   // "thing" → "ting"
+  [/ð/g,  "d"],   // "this"  → "dis"
+  [/ɛ/g,  "e"],   // "bet"   → ए
+  [/ɒ/g,  "ɔ"],   // "cot"   → ऑ
+  [/æ/g,  "a"],   // "cat"   → अ
+  [/ɐ/g,  "ə"],   // schwa-ish
+  [/ʊ/g,  "u"],   // "put"   → u
+];
+
+// eSpeak's Marathi voice gets some proper nouns wrong only in their inflected
+// forms. "मुंबई" alone sounds correct as `mˈumbˌi` in the current model, but
+// "मुंबईचा" is emitted with a spurious long `i:` before the suffix, which
+// makes the synthesis sound off. Keep these as narrow lexical overrides rather
+// than a global phoneme rewrite so we don't perturb native Marathi `c` tokens
+// elsewhere in the lexicon.
+const MARATHI_WORD_OVERRIDES: Record<string, string> = {
+  "मुंबई": "mˈumbˌi",
+  "मुंबईचा": "mˈumbˌica:",
+  "मुंबईची": "mˈumbˌici",
+  "मुंबईचे": "mˈumbˌice",
+};
+
+function applyRules(ipa: string, rules: Array<[RegExp, string]>): string {
+  let out = ipa;
+  for (const [re, to] of rules) out = out.replace(re, to);
+  return out;
+}
+
+/**
+ * Phonemize a chunk of text and return raw IPA lines WITH `(xx)` language-switch
+ * tags preserved. Callers are expected to consume the tags via `parseTaggedIpa`
+ * before sending IPA downstream — the tokenizer doesn't understand parens.
+ */
+export async function phonemize(text: string, language = "mr"): Promise<string[]> {
+  const worker = await getWorker();
+  const { identifiers } = await initVoices();
+  if (!identifiers.has(language)) {
+    throw new Error(
+      `Invalid language: "${language}". Supported: ${[...identifiers].sort().join(", ")}.`,
+    );
+  }
+  worker.set_voice(language);
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  const out = (worker as any).synthesize_ipa(text);
+  return (out.ipa ?? "")
+    .split("\n")
+    .map((line: string) => line.replace(/\s+/g, " ").trim())
+    .filter((x: string) => x.length > 0);
+}
+
+/**
+ * Phonemize word-by-word so we can align pred_dur → words for timestamps.
+ * Each word is a single phonemize() call. For mixed-script input, espeak
+ * inserts `(en)`/`(mr)` tags around language-switched runs; we use those to
+ * apply per-segment remaps:
+ *   - `mr` segments get espeak-mr bug fixes only (z→ʤ, ɪ→i, ɹ→ɾ).
+ *   - `en` segments get bug fixes PLUS Indic-English vowel/fricative remaps
+ *     (θ→t, ð→d, ɛ→e, …) so code-switch words route through densely-trained
+ *     Marathi slots and sound naturally Indic-accented.
+ */
+export async function phonemizeByWord(
+  text: string,
+  language = "mr",
+): Promise<Array<{ word: string; ipa: string }>> {
+  const words = text.split(/\s+/).filter((w) => w.length > 0);
+  const out: Array<{ word: string; ipa: string }> = [];
+  for (const w of words) {
+    const override = language === "mr" ? MARATHI_WORD_OVERRIDES[w] : undefined;
+    if (override) {
+      out.push({ word: w, ipa: override });
+      continue;
+    }
+    // NFC-normalize so `u + combining tilde` collapses to precomposed `ũ` —
+    // our MARATHI_FIXES regexes match the precomposed forms.
+    const raw = (await phonemize(w, language)).join(" ").trim().normalize("NFC");
+    let ipa = "";
+    for (const seg of parseTaggedIpa(raw, language)) {
+      let chunk = applyRules(seg.ipa, DIGRAPH_NORMALIZE);
+      chunk = applyRules(chunk, MARATHI_FIXES);
+      if (seg.lang.startsWith("en")) chunk = applyRules(chunk, ENGLISH_INDIC_EXTRAS);
+      ipa += chunk;
+    }
+    // Decompose to NFD for the tokenizer. Kokoro vocab stores the combining
+    // tilde (U+0303) as a standalone token at slot 17 — not the precomposed
+    // nasalized vowels (ã/ũ/ĩ/õ/ẽ are NOT in vocab). Any precomposed form
+    // surviving our MARATHI_FIXES (e.g., anusvara before a dental, where no
+    // rule fires) would be silently dropped by tokenize.ts and take nearby
+    // consonants' alignment down with it. NFD keeps the base vowel and lets
+    // the tilde ride as its own vocab slot.
+    out.push({
+      word: w,
+      ipa: ipa.replace(/\s+/g, " ").trim().normalize("NFD"),
+    });
+  }
+  return out;
+}

src/main.ts

@@ -0,0 +1,789 @@
+import { KokoroSession, loadConfig, loadVoicepack, type KokoroConfig, type KokoroVocab } from "./model";
+import { phonemizeByWord } from "./phonemize";
+// eslint-disable-next-line @typescript-eslint/ban-ts-comment
+// @ts-ignore — sanscript ships JS with no types
+import Sanscript from "@indic-transliteration/sanscript";
+import { tokenizeByWord } from "./tokenize";
+import { buildTimings, type WordTiming, type PhonemeTiming } from "./timestamps";
+import type { PhonemizedWord } from "./phonemize";
+
+// Voice list, per-voice default speeds, and gender-aware test phrases all
+// come from public/voicepacks.json — single source of truth, edited there
+// to add voices or update sample chips without touching code.
+interface VoicepackEntry {
+  id: string;
+  name: string;
+  name_native: string;
+  gender: "male" | "female";
+  source: string;
+  default_speed: number;
+  ship_status: string;
+}
+interface ChipPhrase {
+  label: string;
+  text: string;
+}
+interface VoicepackManifest {
+  voices: VoicepackEntry[];
+  test_phrases: Record<string, ChipPhrase[]>;
+}
+
+// ── DOM refs ────────────────────────────────────────────────────────────────
+const $ = <T extends HTMLElement>(id: string) => document.getElementById(id) as T;
+
+const statusEl = $<HTMLElement>("status");
+const textEl = $<HTMLTextAreaElement>("text");
+const voiceEl = $<HTMLSelectElement>("voice");
+const speedEl = $<HTMLInputElement>("speed");
+const speedValEl = $<HTMLElement>("speed-val");
+const synthBtn = $<HTMLButtonElement>("synth");
+const transliterateBtn = $<HTMLButtonElement>("transliterate");
+const outputSection = $<HTMLElement>("output-section");
+const audioEl = $<HTMLAudioElement>("audio");
+const transcriptEl = $<HTMLElement>("transcript");
+const compactEl = $<HTMLElement>("transcript-compact");
+const phonemesEl = $<HTMLElement>("phonemes");
+const wordTimingsEl = $<HTMLElement>("word-timings");
+const waveformCanvas = $<HTMLCanvasElement>("waveform");
+const playPauseBtn = $<HTMLButtonElement>("playpause");
+const timeCurEl = $<HTMLElement>("time-cur");
+const timeTotalEl = $<HTMLElement>("time-total");
+const loadModelBtn = $<HTMLButtonElement>("load-model");
+const modelGateEl = $<HTMLElement>("model-gate");
+
+// ── State ───────────────────────────────────────────────────────────────────
+let session: KokoroSession | null = null;
+let config: KokoroConfig | null = null;
+let voicepackManifest: VoicepackManifest | null = null;
+const voicepackCache: Record<string, Float32Array> = {};
+let currentWords: WordTiming[] = [];
+let currentAudio: Float32Array | null = null;
+let currentAudioURL: string | null = null;  // blob URL we must revoke before replacing
+let highlightRaf: number | null = null;
+
+async function loadVoicepackManifest(): Promise<VoicepackManifest> {
+  const res = await fetch("voicepacks.json");
+  if (!res.ok) throw new Error(`voicepacks.json: ${res.status}`);
+  return (await res.json()) as VoicepackManifest;
+}
+
+function populateVoiceSelector(manifest: VoicepackManifest): void {
+  voiceEl.innerHTML = "";
+  for (const v of manifest.voices) {
+    const opt = document.createElement("option");
+    opt.value = v.id;
+    const tag = v.ship_status === "stable" ? "" : ` [${v.ship_status.replace(/_/g, " ")}]`;
+    opt.textContent = `${v.name} (${v.name_native}) — ${v.gender}${tag}`;
+    voiceEl.appendChild(opt);
+  }
+}
+
+// Build chip <button>s under #chips-marathi and #chips-minglish, filtered by
+// the active voice's gender. Called on initial load + every voice change.
+function populateChips(manifest: VoicepackManifest, gender: "male" | "female"): void {
+  const marathiContainer = document.getElementById("chips-marathi") as HTMLDivElement | null;
+  const minglishContainer = document.getElementById("chips-minglish") as HTMLDivElement | null;
+  if (!marathiContainer || !minglishContainer) return;
+
+  // Strip out previously-injected chips (preserve the static label span).
+  marathiContainer.querySelectorAll(".chip").forEach((c) => c.remove());
+  minglishContainer.querySelectorAll(".chip").forEach((c) => c.remove());
+
+  const buildChip = (p: ChipPhrase): HTMLButtonElement => {
+    const b = document.createElement("button");
+    b.className = "chip";
+    b.type = "button";
+    b.setAttribute("data-text", p.text);
+    b.textContent = p.label;
+    b.addEventListener("click", () => {
+      textEl.value = p.text;
+    });
+    return b;
+  };
+
+  const marathi: ChipPhrase[] = [
+    ...(manifest.test_phrases.marathi_neutral ?? []),
+    ...(manifest.test_phrases[`marathi_${gender}`] ?? []),
+  ];
+  const minglish: ChipPhrase[] = [
+    ...(manifest.test_phrases.minglish_neutral ?? []),
+    ...(manifest.test_phrases[`minglish_${gender}`] ?? []),
+  ];
+
+  for (const p of marathi) marathiContainer.appendChild(buildChip(p));
+  for (const p of minglish) minglishContainer.appendChild(buildChip(p));
+}
+
+// Kokoro's PLBERT caps at 510 input tokens. Going over crashes with a shape
+// assertion; we surface a clear user error before calling the model.
+const PLBERT_MAX_TOKENS = 510;
+
+// ── Boot ────────────────────────────────────────────────────────────────────
+// Two-step boot: fetch small metadata on page load (config + one voicepack,
+// together ~530 KB), then gate the big 325 MB model download behind a button
+// so users don't accidentally consume data.
+async function bootLight() {
+  setStatus("loading config…");
+  config = await loadConfig();
+  voicepackManifest = await loadVoicepackManifest();
+  populateVoiceSelector(voicepackManifest);
+  const initialVoice = voicepackManifest.voices[0];
+  voiceEl.value = initialVoice.id;
+  populateChips(voicepackManifest, initialVoice.gender);
+  speedEl.value = String(initialVoice.default_speed);
+  speedValEl.textContent = fmtSpeed(speedEl.value);
+  voicepackCache[initialVoice.id] = await loadVoicepack(initialVoice.id);
+  setStatus(
+    `ready to load model · vocab ${Object.keys(config.vocab).length} — tap "Load model" to proceed`,
+  );
+  modelGateEl.hidden = false;
+  loadModelBtn.disabled = false;
+}
+
+async function loadModel() {
+  if (!config) return;
+  loadModelBtn.disabled = true;
+  loadModelBtn.textContent = "Loading…";
+  try {
+    session = await KokoroSession.create((msg) => setStatus(msg));
+    // Belt-and-suspenders: explicitly tear down the gate card and re-enable
+    // synthesize. `.hidden` sometimes fights stylesheet rules in certain
+    // browsers; setting display:none as a backup guarantees it disappears.
+    modelGateEl.hidden = true;
+    modelGateEl.style.display = "none";
+    loadModelBtn.textContent = "Load model";
+    synthBtn.disabled = false;
+    setStatus(
+      `ready · vocab ${Object.keys(config.vocab).length} · ${session.backend}`,
+      "ready",
+    );
+  } catch (err) {
+    console.error("model load failed", err);
+    setStatus(`model load failed: ${(err as Error).message}`, "error");
+    loadModelBtn.disabled = false;
+    loadModelBtn.textContent = "Retry load";
+  }
+}
+
+loadModelBtn.addEventListener("click", loadModel);
+
+function setStatus(msg: string, cls: "ready" | "error" | "" = "") {
+  statusEl.textContent = msg;
+  statusEl.className = "card status" + (cls ? ` ${cls}` : "");
+}
+
+// ── UI wiring ───────────────────────────────────────────────────────────────
+const fmtSpeed = (v: string | number) => `${parseFloat(String(v)).toFixed(2)}×`;
+voiceEl.addEventListener("change", () => {
+  if (!voicepackManifest) return;
+  const v = voicepackManifest.voices.find((x) => x.id === voiceEl.value);
+  if (!v) return;
+  speedEl.value = String(v.default_speed);
+  speedValEl.textContent = fmtSpeed(speedEl.value);
+  populateChips(voicepackManifest, v.gender);
+});
+speedEl.addEventListener("input", () => {
+  speedValEl.textContent = fmtSpeed(speedEl.value);
+});
+
+// Transliteration: Latin (ITRANS) → Devanagari, in-place. User can edit the
+// result before synthesizing, so any quirks of the scheme (intuitive mapping
+// for vowels, anusvara via "M", proper-noun handling) can be fixed manually
+// rather than by us second-guessing them.
+//
+// `syncope: true` is sanscript's built-in Hindi/Marathi schwa-deletion mode —
+// it drops the inherent /a/ and the corresponding `्` (halant) in positions
+// where Indo-Aryan languages don't pronounce it (especially word-final
+// consonants). Without it, ITRANS produces Sanskrit-style "नमस्कार्" instead
+// of the form a Marathi reader expects, "नमस्कार".
+function transliterateLatinToDevanagari(input: string): string {
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  return (Sanscript as any).t(input, "itrans", "devanagari", { syncope: true }) as string;
+}
+transliterateBtn.addEventListener("click", () => {
+  const before = textEl.value;
+  const after = transliterateLatinToDevanagari(before);
+  if (after !== before) {
+    textEl.value = after;
+    textEl.focus();
+  }
+});
+
+synthBtn.disabled = true;
+synthBtn.addEventListener("click", onSynth);
+
+// ── fused player wiring ──────────────────────────────────────────────────
+playPauseBtn.addEventListener("click", () => {
+  if (audioEl.paused) audioEl.play().catch(() => {});
+  else audioEl.pause();
+});
+audioEl.addEventListener("play",  () => { playPauseBtn.textContent = "⏸"; playPauseBtn.classList.add("playing"); });
+audioEl.addEventListener("pause", () => { playPauseBtn.textContent = "▶";  playPauseBtn.classList.remove("playing"); });
+audioEl.addEventListener("ended", () => { playPauseBtn.textContent = "▶";  playPauseBtn.classList.remove("playing"); });
+// HTMLMediaElement.currentTime/duration are MEDIA-time seconds (independent of
+// playbackRate) — same units as our pred_dur-derived word timings. Don't
+// multiply by playbackRate; doing so made the clock drift proportional to the
+// speed slider and broke seek/highlight alignment on non-1.0 speeds.
+audioEl.addEventListener("loadedmetadata", () => {
+  timeTotalEl.textContent = fmtTime(audioEl.duration);
+});
+audioEl.addEventListener("timeupdate", () => {
+  timeCurEl.textContent = fmtTime(audioEl.currentTime);
+});
+
+// Click + drag (scrub) on the waveform. Pointer events cover mouse + touch.
+let scrubbing = false;
+let wasPlayingBeforeScrub = false;
+function seekToPointer(e: PointerEvent | MouseEvent) {
+  if (!currentAudio) return;
+  const rect = waveformCanvas.getBoundingClientRect();
+  const pct = Math.max(0, Math.min(1, (e.clientX - rect.left) / rect.width));
+  const totalNat = currentAudio.length / 24000;
+  // audioEl.currentTime is media-time; our natural-second target matches directly.
+  audioEl.currentTime = pct * totalNat;
+  // Keep the waveform + timing rows visually in sync even while paused / dragging
+  tickHighlight();
+}
+waveformCanvas.addEventListener("pointerdown", (e) => {
+  if (!currentAudio) return;
+  scrubbing = true;
+  wasPlayingBeforeScrub = !audioEl.paused;
+  if (wasPlayingBeforeScrub) audioEl.pause();
+  waveformCanvas.setPointerCapture(e.pointerId);
+  seekToPointer(e);
+});
+waveformCanvas.addEventListener("pointermove", (e) => {
+  if (scrubbing) seekToPointer(e);
+});
+function endScrub(e: PointerEvent) {
+  if (!scrubbing) return;
+  scrubbing = false;
+  try { waveformCanvas.releasePointerCapture(e.pointerId); } catch {/* ignore */}
+  if (wasPlayingBeforeScrub) audioEl.play().catch(() => {});
+}
+waveformCanvas.addEventListener("pointerup", endScrub);
+waveformCanvas.addEventListener("pointercancel", endScrub);
+
+// Space bar toggles play/pause when focus isn't on text input
+document.addEventListener("keydown", (e) => {
+  if (e.code !== "Space") return;
+  const t = e.target as HTMLElement;
+  if (t.tagName === "TEXTAREA" || t.tagName === "INPUT") return;
+  e.preventDefault();
+  playPauseBtn.click();
+});
+
+function fmtTime(sec: number): string {
+  if (!isFinite(sec) || sec < 0) sec = 0;
+  const m = Math.floor(sec / 60);
+  const s = Math.floor(sec % 60);
+  return `${m}:${s.toString().padStart(2, "0")}`;
+}
+
+// ── Chunk planning for long text ────────────────────────────────────────────
+// Kokoro's PLBERT caps input at 510 phoneme tokens. For longer text we split
+// on sentence boundaries (via Intl.Segmenter — locale-aware, understands
+// Devanagari danda/double-danda as well as Latin .!?), phonemize each sentence,
+// then greedy-pack sentences into chunks under the cap. If a single sentence
+// still exceeds cap, we fall back to per-word greedy packing within that
+// sentence — prosody at the sub-split boundary will be less clean but at
+// least the synthesis runs.
+async function planChunks(
+  text: string,
+  vocab: KokoroVocab,
+  cap: number,
+): Promise<PhonemizedWord[][]> {
+  const segmenter = new Intl.Segmenter("mr", { granularity: "sentence" });
+  const sentences = [...segmenter.segment(text)]
+    .map(s => s.segment.trim())
+    .filter(s => s.length > 0);
+
+  const tokCount = (ws: PhonemizedWord[]) => tokenizeByWord(ws, vocab).inputIds.length;
+
+  const chunks: PhonemizedWord[][] = [];
+  let current: PhonemizedWord[] = [];
+  let currentTokens = 0;
+
+  // tokenizeByWord inserts one boundary-space token BETWEEN each word (not
+  // before the first). So `tokCount(sA ++ sB) = tokCount(sA) + tokCount(sB) + 1`
+  // when we merge sentences A and B into the same chunk — that +1 is easy to
+  // miss and was previously causing near-cap inputs to overflow PLBERT. Account
+  // for it explicitly in the packing math.
+  const BOUNDARY_TOKEN_COST = 1;
+
+  for (const s of sentences) {
+    const sWords = await phonemizeByWord(s);
+    const sTokens = tokCount(sWords);
+
+    // Skip sentences that phonemize to nothing (whitespace, orphan punctuation,
+    // quote marks that espeak drops). Passing 0 tokens to PLBERT crashes at the
+    // Expand node with "invalid expand shape".
+    if (sTokens === 0) continue;
+
+    if (sTokens > cap) {
+      // Sentence alone exceeds cap — flush current, sub-split by greedy word packing.
+      if (current.length) { chunks.push(current); current = []; currentTokens = 0; }
+      let sub: PhonemizedWord[] = [];
+      for (const w of sWords) {
+        const probe = [...sub, w];
+        const probeTokens = tokCount(probe);
+        if (probeTokens > cap) {
+          if (sub.length > 0) {
+            chunks.push(sub);
+            sub = [w];
+            // If this single word is STILL > cap by itself, we can't split further
+            // without corrupting phoneme-to-grapheme alignment. Skip with a warning.
+            if (tokCount(sub) > cap) {
+              console.warn(`dropping oversized word (${tokCount(sub)} tokens > cap ${cap})`, w);
+              sub = [];
+            }
+          } else {
+            // sub was already empty; this lone word exceeds cap. Skip.
+            console.warn(`dropping oversized word (${probeTokens} tokens > cap ${cap})`, w);
+          }
+        } else {
+          sub = probe;
+        }
+      }
+      if (sub.length) chunks.push(sub);
+      continue;
+    }
+
+    const boundary = current.length > 0 ? BOUNDARY_TOKEN_COST : 0;
+    if (currentTokens + boundary + sTokens > cap) {
+      chunks.push(current);
+      current = [...sWords];
+      currentTokens = sTokens;
+    } else {
+      current.push(...sWords);
+      currentTokens += boundary + sTokens;
+    }
+  }
+  if (current.length) chunks.push(current);
+  // Final safety: drop any chunk that ended up with 0 tokens or, defensively,
+  // still over cap (belt-and-suspenders against any miscount above).
+  return chunks.filter(c => {
+    const t = tokCount(c);
+    if (t === 0) return false;
+    if (t > cap) {
+      console.warn(`dropping over-cap chunk (${t} tokens > ${cap}) after packing`, c);
+      return false;
+    }
+    return true;
+  });
+}
+
+// ── Main action ─────────────────────────────────────────────────────────────
+async function onSynth() {
+  if (!session || !config) return;
+  const text = textEl.value.trim();
+  if (!text) return;
+
+  try {
+    synthBtn.disabled = true;
+    setStatus("phonemizing…");
+
+    const voiceId = voiceEl.value;
+    if (!voicepackCache[voiceId]) {
+      voicepackCache[voiceId] = await loadVoicepack(voiceId);
+    }
+    const voicepack = voicepackCache[voiceId];
+
+    const chunks = await planChunks(text, config.vocab, PLBERT_MAX_TOKENS);
+    if (chunks.length === 0) {
+      setStatus("no phonemes produced — check input text", "error");
+      return;
+    }
+
+    const speed = parseFloat(speedEl.value);
+    // 100 ms silence between chunks — keeps sentence boundaries audibly
+    // separated without introducing a long gap.
+    const INTER_CHUNK_PAD_SEC = 0.1;
+
+    const allAudio: Float32Array[] = [];
+    const allWords: WordTiming[] = [];
+    const allPhonemes: PhonemeTiming[] = [];
+    let totalTokens = 0;
+    let audioOffsetSamples = 0;
+    let sampleRate = 24000;
+
+    const t0 = performance.now();
+    for (let ci = 0; ci < chunks.length; ci++) {
+      const chunk = chunks[ci];
+      const tok = tokenizeByWord(chunk, config.vocab);
+      if (tok.inputIds.length === 0) {
+        console.warn(`skipping empty chunk ${ci + 1}/${chunks.length}`, chunk);
+        continue;
+      }
+      totalTokens += tok.inputIds.length;
+
+      if (chunks.length > 1) {
+        setStatus(`synthesizing chunk ${ci + 1}/${chunks.length} (${tok.inputIds.length} tokens)…`);
+      } else {
+        setStatus(`synthesizing (${tok.inputIds.length} tokens)…`);
+      }
+
+      // KPipeline convention: ref_s = voicepack[n_phonemes - 1] (voicepack is
+      // [510, 1, 256] flat). Per chunk, not per whole text — shorter chunks
+      // want the ref_s slice for their own length.
+      const idx = Math.min(tok.inputIds.length - 1, 509);
+      const refS = voicepack.slice(idx * 256, (idx + 1) * 256);
+
+      const result = await session.synthesize(tok.inputIds, refS);
+      sampleRate = result.sampleRate;
+      const PAD_SAMPLES = Math.floor(sampleRate * INTER_CHUNK_PAD_SEC);
+      const { phonemes, words } = buildTimings(tok, result.predDur, sampleRate);
+
+      // Tail-trim NON-final chunks only: ISTFTNet's residual frames would
+      // otherwise bleed into the next chunk's silence pad and onset, which
+      // sounds gross. The final chunk has nothing after it, so we keep its
+      // full decoder output — letting word-final semi-vowels (/j/ in सांगतोय,
+      // /w/ in हवा) and aspirated stops complete their natural release. Trim
+      // pad on internal chunks is 80 ms, which preserves codas while still
+      // dropping the worst of the ghost-vowel "uhh" tail.
+      let audio = result.audio;
+      const isFinalChunk = ci === chunks.length - 1;
+      if (!isFinalChunk && words.length > 0) {
+        const cutoff = Math.min(
+          audio.length,
+          Math.floor((words[words.length - 1].end + 0.08) * sampleRate),
+        );
+        if (cutoff < audio.length) audio = audio.slice(0, cutoff);
+      }
+
+      // Offset this chunk's timings by cumulative audio start.
+      const offsetSec = audioOffsetSamples / sampleRate;
+      for (const p of phonemes) { p.start += offsetSec; p.end += offsetSec; }
+      for (const w of words) {
+        w.start += offsetSec; w.end += offsetSec;
+        for (const pp of w.phonemes) { pp.start += offsetSec; pp.end += offsetSec; }
+      }
+
+      allAudio.push(audio);
+      audioOffsetSamples += audio.length;
+      allPhonemes.push(...phonemes);
+      allWords.push(...words);
+
+      // Silence pad between chunks (not after the last).
+      if (ci < chunks.length - 1) {
+        allAudio.push(new Float32Array(PAD_SAMPLES));
+        audioOffsetSamples += PAD_SAMPLES;
+      }
+    }
+    const t1 = performance.now();
+
+    // Concat audio into one Float32Array for the WAV encoder + waveform.
+    const audio = new Float32Array(audioOffsetSamples);
+    {
+      let off = 0;
+      for (const a of allAudio) { audio.set(a, off); off += a.length; }
+    }
+
+    const wavBlob = float32ToWav(audio, sampleRate);
+    // Revoke the previous blob URL before replacing — else each synth leaks
+    // ~N bytes of WAV data in the browser's URL table until the tab closes.
+    if (currentAudioURL) URL.revokeObjectURL(currentAudioURL);
+    currentAudioURL = URL.createObjectURL(wavBlob);
+    audioEl.src = currentAudioURL;
+    audioEl.preservesPitch = true;
+    audioEl.playbackRate = speed;
+
+    const phonemes = allPhonemes;
+    const words = allWords;
+    currentWords = words;
+
+    renderSideBySide(words);
+    currentAudio = audio;
+    drawWaveform(audio, words, sampleRate);
+
+    phonemesEl.textContent = phonemes
+      .map(p => `${p.phone}  ${fmtSec(p.start)}–${fmtSec(p.end)}  (${p.durFrames}f)`)
+      .join("\n");
+    wordTimingsEl.textContent = words
+      .map(w => `${w.word.padEnd(14)}  ${fmtSec(w.start)}–${fmtSec(w.end)}  [${w.ipa}]`)
+      .join("\n");
+
+    outputSection.hidden = false;
+    const chunkTag = chunks.length > 1 ? ` · ${chunks.length} chunks` : "";
+    setStatus(
+      `synth ${(t1 - t0).toFixed(0)}ms · ${(audio.length / sampleRate).toFixed(2)}s audio · ${totalTokens} tokens${chunkTag}`,
+      "ready",
+    );
+
+    audioEl.play().catch(() => {/* user may block autoplay; harmless */});
+
+  } catch (err) {
+    console.error(err);
+    setStatus(`error: ${(err as Error).message}`, "error");
+  } finally {
+    synthBtn.disabled = false;
+  }
+}
+
+// ── Transcript rendering ────────────────────────────────────────────────
+// Two views:
+//   1. Compact (default): one inline Devanagari sentence, per-word spans that
+//      highlight during playback. Click/Enter opens the details panel.
+//   2. Details: 3-column Devanagari / IPA / timing table — one row per word.
+// Both get updated live by tickHighlight().
+function renderSideBySide(words: WordTiming[]) {
+  // Compact transcript — one span per word for live highlight
+  while (compactEl.firstChild) compactEl.removeChild(compactEl.firstChild);
+  words.forEach((w, i) => {
+    const span = document.createElement("span");
+    span.className = "word";
+    span.dataset.idx = String(i);
+    span.tabIndex = 0;
+    span.role = "button";
+    span.title = `Seek to ${w.start.toFixed(2)}s (${w.ipa})`;
+    span.textContent = w.word;
+    compactEl.appendChild(span);
+    if (i < words.length - 1) compactEl.appendChild(document.createTextNode(" "));
+  });
+
+  // Details table — clear old rows, keep the 3 col-heads, add one row per word
+  const heads = Array.from(transcriptEl.querySelectorAll(".col-head"));
+  while (transcriptEl.firstChild) transcriptEl.removeChild(transcriptEl.firstChild);
+  heads.forEach((h) => transcriptEl.appendChild(h));
+
+  words.forEach((w, i) => {
+    const row = document.createElement("div");
+    row.className = "row";
+    row.dataset.idx = String(i);
+
+    const devanagari = document.createElement("div");
+    devanagari.className = "cell devanagari";
+    devanagari.textContent = w.word;
+
+    const ipa = document.createElement("div");
+    ipa.className = "cell ipa";
+    ipa.textContent = w.ipa;
+
+    const timing = document.createElement("div");
+    timing.className = "cell timing";
+    const range = document.createElement("span");
+    range.className = "range";
+    range.textContent = `${w.start.toFixed(2)}–${w.end.toFixed(2)}s`;
+    const bar = document.createElement("div");
+    bar.className = "bar";
+    const barFill = document.createElement("div");
+    barFill.className = "bar-fill";
+    barFill.style.transform = "scaleX(0)";
+    bar.appendChild(barFill);
+    timing.appendChild(range);
+    timing.appendChild(bar);
+
+    row.appendChild(devanagari);
+    row.appendChild(ipa);
+    row.appendChild(timing);
+    transcriptEl.appendChild(row);
+  });
+}
+
+// ── Waveform drawing ───────────────────────────────────────────────────────
+// Static silhouette of the audio colored by word segments. A playhead is
+// drawn on top in requestAnimationFrame tick during playback.
+function drawWaveform(audio: Float32Array, words: WordTiming[], sampleRate: number) {
+  const canvas = waveformCanvas;
+  const dpr = window.devicePixelRatio || 1;
+  const cssW = canvas.clientWidth || 600;
+  const cssH = canvas.clientHeight || 56;
+  canvas.width = cssW * dpr;
+  canvas.height = cssH * dpr;
+  const ctx = canvas.getContext("2d")!;
+  ctx.scale(dpr, dpr);
+  ctx.clearRect(0, 0, cssW, cssH);
+
+  const totalDur = audio.length / sampleRate;
+  if (totalDur <= 0) return;
+
+  // Downsample audio into one bin per pixel column
+  const cols = Math.floor(cssW);
+  const samplesPerCol = Math.max(1, Math.floor(audio.length / cols));
+
+  // Per-pixel colour based on which word's time range the column belongs to
+  const colorForT = (t: number): string => {
+    for (const w of words) {
+      if (t >= w.start && t <= w.end) {
+        // alternate two warm tones for adjacent words so boundaries are visible
+        const idx = words.indexOf(w);
+        return idx % 2 === 0 ? "#E07A1F" : "#B65F14";
+      }
+    }
+    return "#C4A97A";
+  };
+
+  const mid = cssH / 2;
+  ctx.lineWidth = 1;
+  for (let x = 0; x < cols; x++) {
+    const t = (x / cols) * totalDur;
+    let peak = 0;
+    const from = x * samplesPerCol;
+    const to = Math.min(audio.length, from + samplesPerCol);
+    for (let i = from; i < to; i++) {
+      const v = Math.abs(audio[i]);
+      if (v > peak) peak = v;
+    }
+    const h = Math.max(1, peak * (cssH * 0.9));
+    ctx.strokeStyle = colorForT(t);
+    ctx.beginPath();
+    ctx.moveTo(x + 0.5, mid - h / 2);
+    ctx.lineTo(x + 0.5, mid + h / 2);
+    ctx.stroke();
+  }
+}
+
+// Called each frame during playback to overlay a moving playhead + a dimmed
+// "past" region covering the played portion of the waveform.
+function drawPlayhead(currentSec: number, totalSec: number) {
+  if (!currentAudio) return;
+  const canvas = waveformCanvas;
+  const cssW = canvas.clientWidth || 600;
+  const cssH = canvas.clientHeight || 56;
+  const ctx = canvas.getContext("2d")!;
+  // redraw underlying (cheap — ~600 stroked lines is trivial)
+  drawWaveform(currentAudio, currentWords, 24000);
+  const x = (currentSec / totalSec) * cssW;
+  // Dimmed overlay on the played portion (shows progress visually)
+  ctx.save();
+  ctx.globalCompositeOperation = "multiply";
+  ctx.fillStyle = "#D9C9A7"; // muted tan dims the bright saffron
+  ctx.fillRect(0, 0, x, cssH);
+  ctx.restore();
+  // Thin playhead line at the current position
+  ctx.save();
+  ctx.strokeStyle = "#8E2E2E";
+  ctx.lineWidth = 1.5;
+  ctx.beginPath();
+  ctx.moveTo(x, 0);
+  ctx.lineTo(x, cssH);
+  ctx.stroke();
+  ctx.restore();
+}
+
+// ── Live word highlighting + timing bar fill + waveform playhead ──────────
+// Listeners attached ONCE at module load. The tick function always reads
+// current state from DOM + module state — no stale closure captures when
+// the user re-synthesizes with a different voice.
+function tickHighlight(): void {
+  // audioEl.currentTime is media-time (independent of playbackRate), which
+  // matches our pred_dur-derived word timings directly.
+  const natSec = audioEl.currentTime;
+  const totalNatSec = currentAudio ? currentAudio.length / 24000 : 1;
+
+  let activeIdx = -1;
+  for (let i = 0; i < currentWords.length; i++) {
+    if (natSec >= currentWords[i].start && natSec <= currentWords[i].end) {
+      activeIdx = i;
+      break;
+    }
+    if (natSec > currentWords[i].end) activeIdx = i;
+  }
+
+  // Fresh DOM read every tick — always targets the currently-rendered nodes.
+  // Update compact transcript spans (the default-visible highlight).
+  compactEl.querySelectorAll<HTMLElement>(".word").forEach((span, i) => {
+    span.classList.toggle("active", i === activeIdx);
+    span.classList.toggle("past", i < activeIdx);
+  });
+  // Update detail rows + their timing-bar fills (only visible when details expanded).
+  const rows = transcriptEl.querySelectorAll<HTMLElement>(".row");
+  rows.forEach((row, i) => {
+    row.classList.toggle("active", i === activeIdx);
+    row.classList.toggle("past", i < activeIdx);
+    const fill = row.querySelector<HTMLElement>(".bar-fill");
+    if (!fill) return;
+    if (i < activeIdx) {
+      fill.style.transform = "scaleX(1)";
+    } else if (i === activeIdx) {
+      const w = currentWords[i];
+      const dur = Math.max(0.001, w.end - w.start);
+      const pct = Math.min(1, Math.max(0, (natSec - w.start) / dur));
+      fill.style.transform = `scaleX(${pct.toFixed(3)})`;
+    } else {
+      fill.style.transform = "scaleX(0)";
+    }
+  });
+
+  drawPlayhead(natSec, totalNatSec);
+
+  if (!audioEl.paused && !audioEl.ended) {
+    highlightRaf = requestAnimationFrame(tickHighlight);
+  } else {
+    highlightRaf = null;
+  }
+}
+
+audioEl.addEventListener("play", () => {
+  if (highlightRaf === null) highlightRaf = requestAnimationFrame(tickHighlight);
+});
+audioEl.addEventListener("ended", () => {
+  transcriptEl.querySelectorAll<HTMLElement>(".row").forEach((r) => r.classList.remove("active"));
+  compactEl.querySelectorAll<HTMLElement>(".word").forEach((s) => s.classList.remove("active"));
+});
+
+// Click a word in the compact transcript → seek audio playback to that word's
+// start time. Also clickable in the per-word detail table.
+function seekToWord(idx: number) {
+  const w = currentWords[idx];
+  if (!w || !currentAudio) return;
+  const wasPlaying = !audioEl.paused;
+  // Word timings are media-time seconds — assign directly (see loadedmetadata
+  // handler comment re: why `/ playbackRate` was removed).
+  audioEl.currentTime = w.start;
+  tickHighlight();  // update highlight instantly even if paused
+  if (!wasPlaying) audioEl.play().catch(() => {});
+}
+compactEl.addEventListener("click", (e) => {
+  const t = e.target as HTMLElement;
+  if (!t.classList.contains("word")) return;
+  const idx = parseInt(t.dataset.idx ?? "-1", 10);
+  if (idx >= 0) seekToWord(idx);
+});
+compactEl.addEventListener("keydown", (e) => {
+  if (e.key !== "Enter" && e.key !== " ") return;
+  const t = e.target as HTMLElement;
+  if (!t.classList.contains("word")) return;
+  e.preventDefault();
+  const idx = parseInt(t.dataset.idx ?? "-1", 10);
+  if (idx >= 0) seekToWord(idx);
+});
+// Same seek-on-click for Devanagari cell in the detail table rows
+transcriptEl.addEventListener("click", (e) => {
+  const row = (e.target as HTMLElement).closest<HTMLElement>(".row");
+  if (!row) return;
+  const idx = parseInt(row.dataset.idx ?? "-1", 10);
+  if (idx >= 0) seekToWord(idx);
+});
+
+// ── Helpers ────────────────────────────────────────────────────────────────
+function fmtSec(s: number): string { return s.toFixed(2) + "s"; }
+
+function float32ToWav(samples: Float32Array, sr: number): Blob {
+  const buf = new ArrayBuffer(44 + samples.length * 2);
+  const view = new DataView(buf);
+  writeStr(view, 0, "RIFF");
+  view.setUint32(4, 36 + samples.length * 2, true);
+  writeStr(view, 8, "WAVE");
+  writeStr(view, 12, "fmt ");
+  view.setUint32(16, 16, true);
+  view.setUint16(20, 1, true);
+  view.setUint16(22, 1, true);
+  view.setUint32(24, sr, true);
+  view.setUint32(28, sr * 2, true);
+  view.setUint16(32, 2, true);
+  view.setUint16(34, 16, true);
+  writeStr(view, 36, "data");
+  view.setUint32(40, samples.length * 2, true);
+  let off = 44;
+  for (let i = 0; i < samples.length; i++, off += 2) {
+    const v = Math.max(-1, Math.min(1, samples[i]));
+    view.setInt16(off, v < 0 ? v * 0x8000 : v * 0x7fff, true);
+  }
+  return new Blob([buf], { type: "audio/wav" });
+}
+function writeStr(view: DataView, off: number, s: string) {
+  for (let i = 0; i < s.length; i++) view.setUint8(off + i, s.charCodeAt(i));
+}
+
+bootLight().catch(err => setStatus(`boot failed: ${err.message}`, "error"));

src/model.ts

@@ -0,0 +1,85 @@
+import { AutoModel, Tensor, env } from "@huggingface/transformers";
+
+// Where the ONNX model lives. The AutoModel loader will fetch:
+//   onnx/model.onnx + config.json from this repo on HF Hub.
+const MODEL_REPO = "shreyask/bol-tts-marathi-onnx";
+
+export interface KokoroVocab { [phone: string]: number; }
+export interface KokoroConfig { vocab: KokoroVocab; n_token: number; }
+
+export async function loadConfig(): Promise<KokoroConfig> {
+  const res = await fetch("/config.json");
+  if (!res.ok) throw new Error(`config.json fetch failed: ${res.status}`);
+  return res.json();
+}
+
+export async function loadVoicepack(voiceId: string): Promise<Float32Array> {
+  const res = await fetch(`/voices/${voiceId}.bin`);
+  if (!res.ok) throw new Error(`${voiceId}.bin fetch failed: ${res.status}`);
+  const buf = await res.arrayBuffer();
+  const f32 = new Float32Array(buf);
+  if (f32.length !== 510 * 1 * 256) {
+    throw new Error(`voicepack ${voiceId}: expected ${510 * 1 * 256} floats, got ${f32.length}`);
+  }
+  return f32;
+}
+
+export interface SynthesizeResult {
+  audio: Float32Array;
+  predDur: Int32Array;
+  sampleRate: number;
+}
+
+export class KokoroSession {
+  // eslint-disable-next-line @typescript-eslint/no-explicit-any
+  private model: any;
+  private isWebGpu: boolean;
+  private constructor(model: any, isWebGpu: boolean) { this.model = model; this.isWebGpu = isWebGpu; }
+
+  get backend(): string { return this.isWebGpu ? "webgpu" : "wasm"; }
+
+  static async create(onProgress?: (msg: string) => void): Promise<KokoroSession> {
+    env.allowRemoteModels = true;
+    env.allowLocalModels = false;
+
+    const hasWebGpu = typeof (navigator as any).gpu !== "undefined";
+    const device = hasWebGpu ? "webgpu" : "wasm";
+
+    // fp32 only — Kokoro's ISTFTNet decoder is sensitive to int8/int4 weight
+    // quantization (produces NaN or clipped audio). kokoro.js and HeadTTS both
+    // default to fp32 on WebGPU for this reason. Size is the cost of quality.
+    onProgress?.(`loading model from HF (${device}, ~325 MB one-time)…`);
+    const model = await AutoModel.from_pretrained(MODEL_REPO, {
+      dtype: "fp32",
+      device,
+      progress_callback: (p: any) => {
+        if (p.status === "progress" && p.file?.endsWith(".onnx")) {
+          const mb = (p.loaded / 1e6).toFixed(1);
+          const pct = p.progress ? `${p.progress.toFixed(1)}%` : "";
+          onProgress?.(`downloading ${p.file}: ${mb} MB ${pct}`);
+        } else if (p.status === "done") {
+          onProgress?.(`loaded ${p.file}`);
+        }
+      },
+    } as any);
+    return new KokoroSession(model, hasWebGpu);
+  }
+
+  async synthesize(inputIds: number[], refS: Float32Array): Promise<SynthesizeResult> {
+    const ids = BigInt64Array.from(inputIds.map(v => BigInt(v)));
+    const idTensor  = new Tensor("int64",   ids,  [1, ids.length]);
+    const refTensor = new Tensor("float32", refS, [1, 256]);
+
+    const out = await this.model({ input_ids: idTensor, ref_s: refTensor });
+
+    // transformers.js wraps ort outputs as Tensor objects; unwrap .data
+    const audio = out.audio.data as Float32Array;
+
+    // pred_dur comes back as BigInt64Array from int64 ONNX output — downcast
+    const raw = out.pred_dur.data as BigInt64Array;
+    const predDur = new Int32Array(raw.length);
+    for (let i = 0; i < raw.length; i++) predDur[i] = Number(raw[i]);
+
+    return { audio, predDur, sampleRate: 24000 };
+  }
+}

src/phonemize.ts

@@ -0,0 +1,11 @@
+/**
+ * Public phonemize API — delegates to the espeak-ng WASM worker.
+ */
+
+import { phonemizeByWord as _phonemizeByWord } from "./espeakng/phonemizer";
+
+export interface PhonemizedWord { word: string; ipa: string; }
+
+export async function phonemizeByWord(text: string): Promise<PhonemizedWord[]> {
+  return _phonemizeByWord(text, "mr");
+}

src/styles.css

@@ -0,0 +1,478 @@
+/* ─── palette ─────────────────────────────────────────────────────────────
+ * Maharashtra Warli-art palette: gerua (geru / गेरू, ochre-red earth pigment
+ * traditional to Warli wall paintings) + warm cream + kumkum highlight.
+ * Aligned to the SVG header (`warli-strip.svg`) which uses #c34a19 → #9f320f
+ * gradient on #fff8ec for the dancers/sun/microphones.
+ *
+ * Cream paper            #FAF3E7
+ * Ivory card             #F2E8D3
+ * Gerua (Warli red-ochre) #C34A19   ← was #E07A1F (too saffron-yellow)
+ * Gerua dark             #9F320F   ← matches SVG gradient endpoint
+ * Kumkum (deep red)      #8E2E2E
+ * Ink brown              #2E1D10
+ * Muted cocoa            #8C6E56
+ * Warli white            #FFF8EC   ← matches SVG #fff8ec
+ * Sage (success)         #6B8B4E
+ */
+:root {
+  --bg: #FAF3E7;
+  --card: #F2E8D3;
+  --card-border: #D9C9A7;
+  --accent: #C34A19;          /* gerua — earth-pigment red, authentic Warli */
+  --accent-dark: #9F320F;     /* deep gerua, matches SVG gradient bottom */
+  --accent-soft: #C34A1922;
+  --red: #8E2E2E;
+  --ink: #2E1D10;
+  --muted: #8C6E56;
+  --good: #6B8B4E;
+  --bad: #A63A3A;
+  --warli: #FFF8EC;
+  font-family: "Inter", -apple-system, "Segoe UI", sans-serif;
+}
+
+* { box-sizing: border-box; }
+
+html, body {
+  margin: 0;
+  background: var(--bg);
+  color: var(--ink);
+  min-height: 100vh;
+  line-height: 1.5;
+}
+
+/* ─── typography ──────────────────────────────────────────────────────────
+ * Yatra One: festival/display feel for title + ornamentals
+ * Tiro Devanagari Marathi: elegant serif for Devanagari body text
+ */
+.font-display { font-family: "Yatra One", "Tiro Devanagari Marathi", serif; }
+.font-devanagari {
+  font-family: "Inter", "Tiro Devanagari Marathi", "Noto Sans Devanagari", serif;
+  font-weight: 400;
+}
+
+/* ─── warli border strip ─────────────────────────────────────────────────
+ * Tribal art band — dancers, hut, deer, microphones, sun motifs in white on
+ * saffron. Originals are 2172×154 PNG; we display at fixed pixel height and
+ * stretch horizontally to the viewport (object-fit: cover).
+ */
+.warli-strip {
+  width: 100%;
+  margin-top: 24px;
+  display: flex;
+  justify-content: center;
+  overflow: hidden;
+}
+.warli-strip img {
+  /* Natural aspect (2172×154 ≈ 14:1). width:100% fills the viewport up to
+   * max-width; past that the strip caps and cream gutters appear on either
+   * side. No object-fit cropping, no distortion, triangle borders always
+   * visible. */
+  width: 100%;
+  height: auto;
+  max-width: 1600px;
+  display: block;
+}
+.warli-strip--bottom {
+  margin-top: 24px;
+  /* No rotation — the SVG already has triangle borders on BOTH the top and
+   * bottom edges of the strip, so the same image works for both header and
+   * footer. Rotating 180° would have flipped figures upside-down. */
+}
+
+/* ─── layout ──────────────────────────────────────────────────────────── */
+main {
+  max-width: 860px;
+  margin: 0 auto;
+  padding: 40px 24px 80px;
+}
+
+header {
+  text-align: center;
+  margin-bottom: 32px;
+}
+header h1 {
+  font-family: "Yatra One", "Tiro Devanagari Marathi", serif;
+  font-size: 38px;
+  margin: 0 0 6px;
+  color: var(--red);
+  letter-spacing: 0;
+}
+header .sub {
+  margin: 0;
+  color: var(--muted);
+  font-size: 14px;
+}
+header .namaste {
+  font-family: "Tiro Devanagari Marathi", serif;
+  font-size: 18px;
+  color: var(--accent-dark);
+  margin-bottom: 8px;
+  display: block;
+}
+
+.card {
+  background: var(--card);
+  border: 1px solid var(--card-border);
+  border-radius: 14px;
+  padding: 18px 20px;
+  margin-bottom: 16px;
+  box-shadow: 0 1px 2px rgba(46, 29, 16, 0.04);
+}
+
+.status {
+  font-family: ui-monospace, SFMono-Regular, Menlo, monospace;
+  font-size: 13px;
+  color: var(--muted);
+  padding: 10px 14px;
+}
+.status.ready { color: var(--good); }
+.status.error { color: var(--bad); }
+
+.model-gate {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 16px;
+  border-left: 3px solid var(--accent);
+}
+.model-gate-text { font-size: 14px; color: var(--ink); line-height: 1.7; }
+.model-gate-text strong { color: var(--red); }
+.model-gate-sub { color: var(--muted); font-size: 12px; display: block; margin-top: 4px; }
+.model-gate-variant {
+  display: block;
+  font-size: 13px;
+  cursor: pointer;
+  padding: 2px 0;
+}
+.model-gate-variant input[type=radio] { accent-color: var(--accent); margin-right: 6px; }
+.model-gate button { flex-shrink: 0; }
+
+label { display: block; font-size: 13px; color: var(--muted); margin-bottom: 6px; }
+
+/* Row that puts the textarea label and the Transliterate utility button on
+   the same line, label flush left and button flush right. */
+.text-label-row {
+  display: flex;
+  align-items: baseline;
+  justify-content: space-between;
+  gap: 12px;
+  margin-bottom: 6px;
+}
+.text-label-row label { margin: 0; }
+.text-tool {
+  background: transparent;
+  color: var(--accent-dark);
+  border: 1px solid var(--card-border);
+  border-radius: 999px;
+  padding: 3px 10px;
+  font-size: 12px;
+  font-family: "Inter", "Tiro Devanagari Marathi", sans-serif;
+  cursor: pointer;
+  transition: background 120ms, color 120ms, border-color 120ms;
+}
+.text-tool:hover {
+  background: var(--accent-soft);
+  border-color: var(--accent);
+  color: var(--accent-dark);
+}
+
+textarea {
+  width: 100%;
+  background: var(--warli);
+  color: var(--ink);
+  border: 1px solid var(--card-border);
+  border-radius: 10px;
+  padding: 12px 14px;
+  font-size: 19px;
+  font-family: "Inter", "Tiro Devanagari Marathi", "Noto Sans Devanagari", serif;
+  line-height: 1.55;
+  resize: vertical;
+}
+textarea:focus { outline: 2px solid var(--accent); outline-offset: -1px; }
+
+.examples { display: flex; flex-wrap: wrap; gap: 6px; margin: 10px 0 6px; align-items: center; }
+.examples-label { color: var(--muted); font-size: 12px; margin-right: 4px; }
+.chip {
+  background: transparent;
+  color: var(--ink);
+  border: 1px solid var(--card-border);
+  border-radius: 999px;
+  padding: 4px 10px;
+  font-size: 13px;
+  font-family: "Inter", "Tiro Devanagari Marathi", "Noto Sans Devanagari", serif;
+  cursor: pointer;
+  transition: background 120ms, color 120ms, border-color 120ms;
+}
+.chip:hover { background: var(--accent-soft); border-color: var(--accent); color: var(--accent-dark); }
+
+.controls {
+  display: grid;
+  grid-template-columns: 1fr 1fr auto;
+  gap: 14px;
+  align-items: end;
+  margin-top: 14px;
+}
+.controls select, .controls input[type=range] {
+  width: 100%;
+  background: var(--warli);
+  color: var(--ink);
+  border: 1px solid var(--card-border);
+  border-radius: 8px;
+  padding: 7px 10px;
+}
+.controls input[type=range] {
+  accent-color: var(--accent);
+  padding: 4px 0;
+}
+.speed-control { margin-bottom: 0; }
+.speed-control-row {
+  display: flex;
+  justify-content: space-between;
+  align-items: baseline;
+  margin-bottom: 6px;
+  font-size: 13px;
+  color: var(--muted);
+}
+.speed-control-row #speed-val {
+  font-family: ui-monospace, SFMono-Regular, Menlo, monospace;
+  font-size: 12px;
+  color: var(--accent-dark);
+  font-variant-numeric: tabular-nums;
+}
+
+button.primary {
+  background: var(--accent);
+  color: #fff;
+  border: none;
+  border-radius: 8px;
+  padding: 9px 20px;
+  font-weight: 600;
+  cursor: pointer;
+  font-size: 14px;
+  font-family: "Inter", "Tiro Devanagari Marathi", sans-serif;
+}
+button.primary:hover { background: var(--accent-dark); }
+button.primary:disabled { opacity: 0.45; cursor: default; }
+
+.ab-test { margin-top: 10px; }
+
+/* ─── audio output area ──────────────────────────────────────────────── */
+/* ─── fused player: play/pause button + seekable waveform + time ─────── */
+.player {
+  display: grid;
+  grid-template-columns: 48px 1fr;
+  gap: 12px;
+  align-items: center;
+  background: var(--warli);
+  border: 1px solid var(--card-border);
+  border-radius: 10px;
+  padding: 10px 12px;
+  margin-bottom: 14px;
+}
+.playpause {
+  width: 44px;
+  height: 44px;
+  border-radius: 50%;
+  background: var(--accent);
+  color: #fff;
+  border: none;
+  font-size: 18px;
+  cursor: pointer;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  line-height: 1;
+  padding: 0;
+  transition: background 120ms;
+}
+.playpause:hover { background: var(--accent-dark); }
+.playpause.playing { font-size: 16px; }
+
+.player-main {
+  position: relative;
+  display: flex;
+  flex-direction: column;
+  gap: 2px;
+}
+.waveform {
+  width: 100%;
+  height: 56px;
+  background: transparent;
+  cursor: pointer;
+  display: block;
+}
+.waveform:focus { outline: 2px solid var(--accent); outline-offset: -1px; border-radius: 4px; }
+.player-time {
+  display: flex;
+  justify-content: space-between;
+  font-family: ui-monospace, SFMono-Regular, Menlo, monospace;
+  font-size: 11px;
+  color: var(--muted);
+  font-feature-settings: "tnum";
+  padding: 0 2px;
+}
+
+/* ─── compact transcript (default view) — Marathi text with per-word hl ── */
+.transcript-compact {
+  font-family: "Inter", "Tiro Devanagari Marathi", "Noto Sans Devanagari", serif;
+  font-size: 24px;
+  line-height: 1.7;
+  padding: 14px 16px;
+  border: 1px solid var(--card-border);
+  border-radius: 10px;
+  background: var(--warli);
+  color: var(--ink);
+  min-height: 60px;
+}
+.transcript-compact .word {
+  display: inline-block;
+  padding: 1px 4px;
+  border-radius: 4px;
+  cursor: pointer;
+  transition: background-color 150ms ease, color 150ms ease;
+}
+.transcript-compact .word:hover { background: var(--accent-soft); }
+.transcript-compact .word:focus { outline: 2px solid var(--accent); outline-offset: -1px; }
+.transcript-compact .word.active {
+  background: var(--accent);
+  color: #fff;
+}
+.transcript-compact .word.past { color: var(--muted); }
+
+/* ─── expandable per-word detail (IPA + timing) ───────────────────────── */
+.transcript-details {
+  margin-top: 10px;
+}
+.transcript-details > summary {
+  cursor: pointer;
+  color: var(--muted);
+  font-size: 12px;
+  padding: 4px 6px;
+  user-select: none;
+}
+.transcript-details > summary:hover { color: var(--accent-dark); }
+.transcript-details[open] > summary { margin-bottom: 8px; }
+
+/* ─── side-by-side Devanagari / IPA / timing columns ─────────────────── */
+.sidebyside {
+  display: grid;
+  grid-template-columns: minmax(140px, 1.2fr) minmax(160px, 1.8fr) 2fr;
+  gap: 0;
+  border: 1px solid var(--card-border);
+  border-radius: 10px;
+  overflow: hidden;
+  background: var(--warli);
+}
+.sidebyside .col-head {
+  font-family: "Yatra One", serif;
+  font-size: 13px;
+  color: var(--red);
+  padding: 8px 12px;
+  border-bottom: 1px solid var(--card-border);
+  background: #EFE2C5;
+  letter-spacing: 0.02em;
+}
+.sidebyside .row {
+  display: contents;
+}
+.sidebyside .cell {
+  padding: 10px 12px;
+  border-bottom: 1px solid #E8DBBF;
+  display: flex;
+  align-items: center;
+  transition: background-color 180ms ease;
+}
+.sidebyside .row.active .cell { background: var(--accent-soft); }
+.sidebyside .row.past .cell { color: var(--muted); }
+.sidebyside .row:last-child .cell { border-bottom: none; }
+
+.cell.devanagari {
+  font-family: "Inter", "Tiro Devanagari Marathi", "Noto Sans Devanagari", serif;
+  font-size: 22px;
+  font-weight: 500;
+  color: var(--ink);
+}
+.sidebyside .row.active .cell.devanagari { color: var(--red); }
+
+.cell.ipa {
+  font-family: ui-monospace, SFMono-Regular, Menlo, monospace;
+  font-size: 14px;
+  color: var(--accent-dark);
+}
+
+.cell.timing {
+  position: relative;
+  font-family: ui-monospace, SFMono-Regular, Menlo, monospace;
+  font-size: 12px;
+  color: var(--muted);
+  padding: 10px 12px;
+}
+.cell.timing .bar {
+  position: absolute;
+  left: 10px;
+  right: 10px;
+  bottom: 6px;
+  height: 4px;
+  background: #E8DBBF;
+  border-radius: 2px;
+  overflow: hidden;
+}
+.cell.timing .bar-fill {
+  height: 100%;
+  background: var(--accent);
+  border-radius: 2px;
+  transform-origin: left center;
+  transition: transform 80ms linear;
+}
+.sidebyside .row.past .cell.timing .bar-fill {
+  background: var(--muted);
+  transform: scaleX(1);
+}
+.cell.timing .range {
+  font-feature-settings: "tnum";
+  margin-right: 10px;
+}
+
+/* ─── Marathi facts sidebar ──────────────────────────────────────────── */
+.facts {
+  background: #EFE2C5;
+  border-left: 3px solid var(--accent);
+  padding: 10px 14px;
+  border-radius: 6px;
+  font-size: 13px;
+  color: var(--ink);
+  margin-top: 14px;
+  line-height: 1.55;
+}
+.facts strong { color: var(--red); font-weight: 600; }
+.facts .ipa-inline {
+  font-family: ui-monospace, SFMono-Regular, Menlo, monospace;
+  color: var(--accent-dark);
+}
+
+/* ─── misc ───────────────────────────────────────────────────────────── */
+.details { margin-top: 12px; }
+.details summary { cursor: pointer; color: var(--muted); font-size: 12px; }
+.phonemes, .word-timings {
+  font-family: ui-monospace, SFMono-Regular, Menlo, monospace;
+  font-size: 12px;
+  color: var(--muted);
+  white-space: pre-wrap;
+  margin: 8px 0 0;
+  padding: 10px;
+  background: #EAE0C5;
+  border-radius: 6px;
+  max-height: 220px;
+  overflow: auto;
+}
+
+footer {
+  margin-top: 40px;
+  color: var(--muted);
+  font-size: 12px;
+  text-align: center;
+}
+footer a,
+header p a { color: var(--accent-dark); text-decoration: underline; }
+footer a:hover,
+header p a:hover { color: var(--red); }

src/timestamps.ts

@@ -0,0 +1,82 @@
+import type { TokenizeResult } from "./tokenize";
+
+// pred_dur is in PREDICTOR frames, not mel frames. Empirically:
+//   audio.length / pred_dur.sum === 600 (not 300 as you'd guess from mel hop).
+// The prosody predictor runs at half the mel-frame rate; the decoder
+// upsamples 2× internally before iSTFT. So frame-to-seconds uses hop=600.
+const HOP = 600;
+const DEFAULT_SR = 24000;
+
+export interface PhonemeTiming {
+  phone: string;
+  start: number;      // seconds
+  end: number;
+  durFrames: number;
+}
+
+export interface WordTiming {
+  word: string;
+  ipa: string;
+  start: number;      // seconds
+  end: number;
+  phonemes: PhonemeTiming[];
+}
+
+/**
+ * Turn pred_dur (per-phoneme duration in frames) + the per-word index ranges
+ * from tokenize.ts into phoneme + word level timestamps in seconds.
+ *
+ * Kokoro's prosody predictor outputs durations in *predictor frames* where
+ * 1 frame = 600 audio samples at 24 kHz (25 ms/frame). We accumulate and
+ * attribute to the originating word via the tokenStart/tokenEnd ranges that
+ * tokenizeByWord wrote down.
+ */
+export function buildTimings(
+  tokenizeResult: TokenizeResult,
+  predDur: Int32Array | number[],
+  sampleRate: number = DEFAULT_SR,
+): { phonemes: PhonemeTiming[]; words: WordTiming[] } {
+  const durArr: number[] = Array.from(predDur as Iterable<number>);
+
+  if (durArr.length !== tokenizeResult.inputIds.length) {
+    // Kokoro sometimes returns pred_dur aligned to internal sequence length
+    // (post-padding, post-space-injection). We expect them to match; if they
+    // don't, warn and continue with the shorter of the two so we don't crash.
+    console.warn(
+      `pred_dur length (${durArr.length}) != input_ids length (${tokenizeResult.inputIds.length}) — truncating`,
+    );
+  }
+  const n = Math.min(durArr.length, tokenizeResult.inputIds.length);
+
+  // Phoneme-level
+  const phonemes: PhonemeTiming[] = [];
+  let cumFrames = 0;
+  for (let i = 0; i < n; i++) {
+    const df = durArr[i];
+    const start = (cumFrames * HOP) / sampleRate;
+    cumFrames += df;
+    const end = (cumFrames * HOP) / sampleRate;
+    phonemes.push({
+      phone: tokenizeResult.phonemes[i] ?? "?",
+      start,
+      end,
+      durFrames: df,
+    });
+  }
+
+  // Word-level: for each word, take start of first in-range phoneme and end of last
+  const words: WordTiming[] = [];
+  for (const w of tokenizeResult.words) {
+    const slice = phonemes.slice(w.tokenStart, Math.min(w.tokenEnd, phonemes.length));
+    if (slice.length === 0) continue;
+    words.push({
+      word: w.word,
+      ipa: w.ipa,
+      start: slice[0].start,
+      end: slice[slice.length - 1].end,
+      phonemes: slice,
+    });
+  }
+
+  return { phonemes, words };
+}

src/tokenize.ts

@@ -0,0 +1,61 @@
+import type { KokoroVocab } from "./model";
+
+/**
+ * Result of turning text → model input, with word-level bookkeeping so we can
+ * align per-phoneme `pred_dur` back to words for timestamps.
+ */
+export interface TokenizeResult {
+  inputIds: number[];                          // token IDs for KModel
+  phonemes: string[];                          // flat phoneme sequence (each ID's char)
+  words: Array<{
+    word: string;                              // Devanagari source
+    ipa: string;                               // raw espeak-ng output for this word
+    tokenStart: number;                        // index into inputIds for first kept phoneme
+    tokenEnd: number;                          // exclusive
+  }>;
+  droppedChars: Record<string, number>;        // chars not in vocab, counts for diagnostics
+}
+
+/**
+ * Convert per-word IPA (from phonemize.ts) into model-ready input_ids, keeping
+ * track of which input_ids came from which word for downstream timestamping.
+ *
+ * Characters not in `vocab` are silently dropped — this mirrors KModel.forward's
+ * own tokenization (`input_ids = filter(lambda i: i is not None, map(vocab.get, phonemes))`).
+ */
+export function tokenizeByWord(
+  wordIpas: Array<{ word: string; ipa: string }>,
+  vocab: KokoroVocab,
+): TokenizeResult {
+  const inputIds: number[] = [];
+  const phonemes: string[] = [];
+  const words: TokenizeResult["words"] = [];
+  const droppedChars: Record<string, number> = {};
+
+  const spaceId = vocab[" "];
+  for (let wi = 0; wi < wordIpas.length; wi++) {
+    const { word, ipa } = wordIpas[wi];
+    // Insert word-boundary space BEFORE every word except the first.
+    // (Trailing-space-after-last-word tends to get stripped by the predictor,
+    //  which throws off pred_dur ↔ input_ids alignment and drops the last
+    //  word from our timestamps. Leading-space avoids the issue.)
+    if (wi > 0 && spaceId !== undefined) {
+      inputIds.push(spaceId);
+      phonemes.push(" ");
+    }
+    const tokenStart = inputIds.length;
+    for (const c of ipa) {
+      const id = vocab[c];
+      if (id === undefined) {
+        droppedChars[c] = (droppedChars[c] ?? 0) + 1;
+      } else {
+        inputIds.push(id);
+        phonemes.push(c);
+      }
+    }
+    const tokenEnd = inputIds.length;
+    words.push({ word, ipa, tokenStart, tokenEnd });
+  }
+
+  return { inputIds, phonemes, words, droppedChars };
+}

tsconfig.json

@@ -0,0 +1,20 @@
+{
+  "compilerOptions": {
+    "target": "ES2022",
+    "module": "ESNext",
+    "moduleResolution": "Bundler",
+    "lib": ["ES2022", "DOM", "DOM.Iterable"],
+    "strict": true,
+    "noImplicitAny": true,
+    "noUnusedLocals": true,
+    "esModuleInterop": true,
+    "allowSyntheticDefaultImports": true,
+    "forceConsistentCasingInFileNames": true,
+    "isolatedModules": true,
+    "skipLibCheck": true,
+    "noEmit": true,
+    "resolveJsonModule": true,
+    "types": ["vite/client"]
+  },
+  "include": ["src"]
+}

vite.config.ts

@@ -0,0 +1,24 @@
+import { defineConfig } from "vite";
+
+export default defineConfig({
+  // onnxruntime-web ships .wasm files that must be served as static assets.
+  // Vite's default public/ dir handles them, but the package's internal wasm
+  // paths need to be resolved correctly when bundling.
+  optimizeDeps: {
+    exclude: ["onnxruntime-web"],
+  },
+  server: {
+    port: 5173,
+    // Required for SharedArrayBuffer (onnxruntime-web multithreading uses it)
+    headers: {
+      "Cross-Origin-Opener-Policy": "same-origin",
+      "Cross-Origin-Embedder-Policy": "require-corp",
+    },
+  },
+  preview: {
+    headers: {
+      "Cross-Origin-Opener-Policy": "same-origin",
+      "Cross-Origin-Embedder-Policy": "require-corp",
+    },
+  },
+});

voicepacks.json

@@ -0,0 +1,92 @@
+{
+  "$schema_version": 1,
+  "_comment": "Source of truth for the bol-tts-marathi WebGPU demo's voice list + per-voice metadata + test phrases. Edit this to add/remove voices or update sample chips — main.ts consumes it dynamically on page load.",
+  "voices": [
+    {
+      "id": "mf_asha",
+      "name": "Asha",
+      "name_native": "आशा",
+      "gender": "female",
+      "source": "rasa",
+      "default_speed": 1.0,
+      "ship_status": "stable"
+    },
+    {
+      "id": "mm_vivek",
+      "name": "Vivek",
+      "name_native": "विवेक",
+      "gender": "male",
+      "source": "rasa",
+      "default_speed": 1.0,
+      "ship_status": "stable"
+    },
+    {
+      "id": "mf_mukta",
+      "name": "Mukta",
+      "name_native": "मुक्ता",
+      "gender": "female",
+      "source": "indicvoices_r",
+      "default_speed": 1.0,
+      "ship_status": "stable"
+    },
+    {
+      "id": "mm_dnyanesh",
+      "name": "Dnyanesh",
+      "name_native": "ज्ञानेश",
+      "gender": "male",
+      "source": "indicvoices_r",
+      "default_speed": 1.0,
+      "ship_status": "stable"
+    },
+    {
+      "id": "mf_priya",
+      "name": "Priya",
+      "name_native": "प्रिया",
+      "gender": "female",
+      "source": "springlab",
+      "default_speed": 1.0,
+      "ship_status": "v0.2_preview"
+    },
+    {
+      "id": "mm_arjun",
+      "name": "Arjun",
+      "name_native": "अर्जुन",
+      "gender": "male",
+      "source": "springlab",
+      "default_speed": 1.0,
+      "ship_status": "v0.2_preview"
+    }
+  ],
+  "test_phrases": {
+    "marathi_neutral": [
+      { "label": "हवामान", "text": "आज हवामान खूप छान आहे, पाऊस पडतो आहे." },
+      { "label": "महाराष्ट्र", "text": "महाराष्ट्र हे भारतातील एक महत्त्वाचे राज्य आहे." },
+      { "label": "मुंबई", "text": "मुंबई ही महाराष्ट्राची राजधानी आणि भारताची आर्थिक राजधानी आहे." },
+      { "label": "पुणे", "text": "पुणे ही महाराष्ट्राची सांस्कृतिक राजधानी मानली जाते." },
+      { "label": "आकडे", "text": "एक दोन तीन चार पाच सहा सात आठ." },
+      { "label": "कथा", "text": "पूर्वी एका छोट्या गावात एक शहाणा शेतकरी राहत होता." },
+      { "label": "गुढी पाडवा", "text": "गुढी पाडवा हा मराठी नववर्षाचा सण आहे." },
+      { "label": "भजी", "text": "पावसाळी संध्याकाळी गरम भजी आणि कटिंग चहा म्हणजे स्वर्गच!" },
+      { "label": "वडापाव", "text": "मुंबईचा वडापाव आणि पुण्याचा चहा — आपली खरी ओळख." }
+    ],
+    "marathi_female": [
+      { "label": "थकले", "text": "आज खूप काम केले, मी थकले आहे." }
+    ],
+    "marathi_male": [
+      { "label": "थकलो", "text": "आज खूप काम केले, मी थकलो आहे." }
+    ],
+    "minglish_neutral": [
+      { "label": "coffee?", "text": "Coffee पिऊया का?" },
+      { "label": "AI tech", "text": "Artificial intelligence ही technology खूप amazing आहे." },
+      { "label": "weekend plan", "text": "Weekend ला movie बघायचा plan आहे का?" }
+    ],
+    "minglish_female": [
+      { "label": "Google job", "text": "मी Google मध्ये काम करते." },
+      { "label": "late meeting", "text": "आज meeting ला late झाले." }
+    ],
+    "minglish_male": [
+      { "label": "Google job", "text": "मी Google मध्ये काम करतो." },
+      { "label": "late meeting", "text": "आज meeting ला late झालो." }
+    ]
+  }
+}

voices/mf_priya.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c09561d3fda1dfddb88c461a79ff5d518198035a8906feece9fe38d6973225a1
+size 522240

voices/mm_arjun.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d2eb6136af364a684e0504a77817e54ce6a96771284dee629c0d938e76b334b0
+size 522240