File size: 14,606 Bytes
5895355 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 |
{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# French SSML Cascade Models Demo\n",
"\n",
"<img src=\"https://www.hi-paris.fr/wp-content/uploads/2020/09/logo-hi-paris-retina.png\" alt=\"Hi! Paris\" width=\"200\"/>\n",
"\n",
"**Interactive demonstration of French SSML cascade models for improved text-to-speech prosody control.**\n",
"\n",
"This notebook demonstrates the complete pipeline from plain French text to rich SSML markup with prosody control.\n",
"\n",
"## 🧩 Pipeline Overview\n",
"\n",
"1. **Text-to-Breaks**: Predicts natural pause locations \n",
"2. **Breaks-to-SSML**: Adds prosody control (pitch, rate, volume) and precise timing\n",
"\n",
"📄 **Paper**: *Improving Synthetic Speech Quality via SSML Prosody Control* (ICNLSP 2025) \n",
"🔗 **Demo & Audio Samples**: https://horstmann.tech/ssml-prosody-control/ \n",
"📚 **Models**: [hi-paris/ssml-text2breaks-fr-lora](https://huggingface.co/hi-paris/ssml-text2breaks-fr-lora) • [hi-paris/ssml-breaks2ssml-fr-lora](https://huggingface.co/hi-paris/ssml-breaks2ssml-fr-lora)\n",
"\n",
"---"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 🚀 Setup\n",
"\n",
"### Step 1: Mount Google Drive"
]
},
{
"cell_type": "code",
"execution_count": 34,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "a1jNj9uK7EoL",
"outputId": "76624289-061f-4700-e397-50da9da9ee6d"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Mounted at /content/drive\n"
]
}
],
"source": [
"from google.colab import drive\n",
"drive.mount('/content/drive', force_remount=True)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 2: Clone Repository"
]
},
{
"cell_type": "code",
"execution_count": 35,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "eE3iUaX_7OLG",
"outputId": "d621b296-b12f-489a-bc1f-c7240c21646b"
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"shell-init: error retrieving current directory: getcwd: cannot access parent directories: No such file or directory\n",
"chdir: error retrieving current directory: getcwd: cannot access parent directories: No such file or directory\n",
"Cloning into 'cascading_model'...\n"
]
}
],
"source": [
"%%bash\n",
"cd /content/drive/MyDrive/\n",
"git clone https://github.com/TimLukaHorstmann/cascading_model.git"
]
},
{
"cell_type": "code",
"execution_count": 36,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "vItNbMvh7ZNL",
"outputId": "31a31144-1261-4427-9d2e-089ae17689b2"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"/content/drive/MyDrive/cascading_model\n"
]
}
],
"source": [
"%cd /content/drive/MyDrive/cascading_model/\n"
]
},
{
"cell_type": "code",
"execution_count": 37,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "JdeuCOX_7kae",
"outputId": "f8bad5e1-92d0-4531-fbe0-ca2f29a8efd8"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"breaks2ssml_inference.py\n",
"demo.py\n",
"empty_ssml_creation.py\n",
"__init__.py\n",
"pyproject.toml\n",
"README.md\n",
"requirements.txt\n",
"shared_models.py\n",
"test_models.py\n",
"text2breaks_inference.py\n"
]
}
],
"source": [
"%%bash\n",
"ls"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 🧪 Testing & Demo\n",
"\n",
"### Step 3: Verify Installation"
]
},
{
"cell_type": "code",
"execution_count": 38,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "eaBx_eh-819B",
"outputId": "2c55f4fa-f17e-49b8-b032-74d670dcd34a"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2025-08-06 12:36:48.453347: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
"E0000 00:00:1754483808.475278 35366 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
"E0000 00:00:1754483808.481612 35366 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
"============================================================\n",
"🧪 French SSML Models - Test Suite\n",
"============================================================\n",
"🔍 Testing imports...\n",
" ✅ PyTorch 2.5.1+cu121\n",
" ✅ Transformers 4.54.0\n",
" ✅ PEFT 0.16.0\n",
" ✅ All imports successful!\n",
"\n",
"🔧 Testing model loading...\n",
" Loading text2breaks model...\n",
"Loading checkpoint shards: 100% 4/4 [01:33<00:00, 23.46s/it]\n",
" ✅ Text2breaks model loaded\n",
" Loading breaks2ssml model...\n",
" ✅ Breaks2ssml model loaded\n",
" ✅ All models loaded successfully!\n",
"\n",
"🧪 Testing inference...\n",
" Input: Bonjour comment allez-vous ?\n",
" Testing text2breaks...\n",
"The following generation flags are not valid and may be ignored: ['temperature']. Set `TRANSFORMERS_VERBOSITY=info` for more details.\n",
" Step 1 result: Bonjour comment allez-vous ?<break/>\n",
" Testing breaks2ssml...\n",
"The following generation flags are not valid and may be ignored: ['temperature']. Set `TRANSFORMERS_VERBOSITY=info` for more details.\n",
" Step 2 result: <prosody pitch=\"+0.64%\" rate=\"-1.92%\" volume=\"-10.00%\">\n",
" Bonjour comment allez-vous ?\n",
" </prosody>\n",
" <break time=\"500ms\"/>\n",
" ✅ Inference test successful!\n",
"\n",
"🔗 Testing full cascade...\n",
" Input: Bonsoir comment ça va ?\n",
" Cascade result: <prosody pitch=\"+0.64%\" rate=\"-1.92%\" volume=\"-10.00%\">\n",
" Bonsoir comment ça va ?\n",
" </prosody>\n",
" <break time=\"500ms\"/>\n",
" ✅ Cascade test successful!\n",
"\n",
"============================================================\n",
"🎉 All tests passed! The models are working correctly.\n",
"============================================================\n",
"\n",
"You can now use:\n",
" - python demo.py (for examples)\n",
" - python demo.py --interactive (for interactive mode)\n",
" - python text2breaks_inference.py --interactive\n",
" - python breaks2ssml_inference.py --interactive\n"
]
}
],
"source": [
"!python test_models.py"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Step 4: Interactive Demo\n",
"\n",
"Run the interactive demo to test the models with your own French text:"
]
},
{
"cell_type": "code",
"execution_count": 29,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "ZIeUY9atUhvV",
"outputId": "581f1395-fa70-424f-9c66-50b5e44547c3"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"2025-08-06 12:21:35.541051: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
"E0000 00:00:1754482895.561958 31169 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered\n",
"E0000 00:00:1754482895.568312 31169 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered\n",
"================================================================================\n",
"Interactive French SSML Cascade\n",
"================================================================================\n",
"\n",
"Choose mode:\n",
"1. Full cascade (text → breaks → SSML)\n",
"2. Text to breaks only\n",
"3. Breaks to SSML only\n",
"\n",
"Select mode (1-3): 1\n",
"\n",
"Initializing models...\n",
"Loading checkpoint shards: 100% 4/4 [01:30<00:00, 22.70s/it]\n",
"Models loaded successfully!\n",
"\n",
"Enter French text (empty line to exit):\n",
"\n",
"> Je suis Luka.\n",
"The following generation flags are not valid and may be ignored: ['temperature']. Set `TRANSFORMERS_VERBOSITY=info` for more details.\n",
"The following generation flags are not valid and may be ignored: ['temperature']. Set `TRANSFORMERS_VERBOSITY=info` for more details.\n",
"Output: <prosody pitch=\"+0.64%\" rate=\"-1.92%\" volume=\"-10.00%\">\n",
" Je suis Luka.\n",
" </prosody>\n",
" <break time=\"500ms\"/>\n",
"Time: 6.55s\n",
"\n",
"> Trés bien.\n",
"The following generation flags are not valid and may be ignored: ['temperature']. Set `TRANSFORMERS_VERBOSITY=info` for more details.\n",
"The following generation flags are not valid and may be ignored: ['temperature']. Set `TRANSFORMERS_VERBOSITY=info` for more details.\n",
"Output: <prosody pitch=\"+0.64%\" rate=\"-1.92%\" volume=\"-10.00%\">\n",
" Trés bien.\n",
" </prosody>\n",
" <break time=\"500ms\"/>\n",
"Time: 5.64s\n",
"\n",
"> Je suis Bertrand Perier. Je suis avocat et vous écoutez ma masterclass.\n",
"The following generation flags are not valid and may be ignored: ['temperature']. Set `TRANSFORMERS_VERBOSITY=info` for more details.\n",
"The following generation flags are not valid and may be ignored: ['temperature']. Set `TRANSFORMERS_VERBOSITY=info` for more details.\n",
"Output: <prosody pitch=\"+0.64%\" rate=\"-1.92%\" volume=\"-10.00%\">\n",
" Je suis Bertrand Perier.\n",
" </prosody>\n",
" <break time=\"500ms\"/>\n",
"\n",
" <prosody pitch=\"+3.78%\" rate=\"-1.29%\" volume=\"-10.00%\">\n",
" Je suis avocat et vous écoutez ma masterclass.\n",
" </prosody>\n",
" <break time=\"500ms\"/>\n",
"Time: 12.11s\n",
"\n",
"> Exception ignored in: <module 'threading' from '/usr/lib/python3.11/threading.py'>\n",
"Traceback (most recent call last):\n",
" File \"/usr/lib/python3.11/threading.py\", line 1541, in _shutdown\n",
" def _shutdown():\n",
" \n",
"KeyboardInterrupt: \n"
]
}
],
"source": [
"!python demo.py --interactive"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## 🎯 Example Usage\n",
"\n",
"```python\n",
"from breaks2ssml_inference import CascadedInference\n",
"\n",
"# Initialize the full cascade\n",
"cascade = CascadedInference()\n",
"\n",
"# Convert plain French text to SSML\n",
"text = \"Bonjour comment allez-vous aujourd'hui ?\"\n",
"result = cascade.predict(text)\n",
"print(result)\n",
"```\n",
"\n",
"**Expected Output:**\n",
"```xml\n",
"<prosody pitch=\"+2.5%\" rate=\"-1.2%\" volume=\"-5.0%\">Bonjour comment allez-vous aujourd'hui ?</prosody><break time=\"300ms\"/>\n",
"```\n",
"\n",
"## 📚 Resources\n",
"\n",
"- **Audio Demos**: https://horstmann.tech/ssml-prosody-control/\n",
"- **GitHub Repository**: https://github.com/TimLukaHorstmann/cascading_model\n",
"- **Stage 1 Model**: https://huggingface.co/hi-paris/ssml-text2breaks-fr-lora\n",
"- **Stage 2 Model**: https://huggingface.co/hi-paris/ssml-breaks2ssml-fr-lora\n",
"\n",
"---\n",
"*Hi! Paris - Interdisciplinary Research Institute for Artificial Intelligence*"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": []
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"gpuType": "T4",
"provenance": []
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
|