feat: add dataset generator
Browse filesSigned-off-by: Alexandre Gomez <gomez.a.corneille@gmail.com>
- dataset-generator.ipynb +138 -0
- dataset/no/.gitkeep +0 -0
- dataset/yes/.gitkeep +0 -0
dataset-generator.ipynb
ADDED
@@ -0,0 +1,138 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import os\n",
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"import torch\n",
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"\n",
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"device = torch.device(\"cpu\")\n",
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"torch.set_num_threads(4)\n",
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"local_file = \"model.pt\"\n",
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"\n",
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"if not os.path.isfile(local_file):\n",
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" torch.hub.download_url_to_file(\"https://models.silero.ai/models/tts/fr/v3_fr.pt\",\n",
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" local_file) \n",
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"\n",
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"model = torch.package.PackageImporter(local_file).load_pickle(\"tts_models\", \"model\")\n",
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"model.to(device)\n",
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"\n",
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"sample_rate = 48000\n",
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"num_files = 10\n",
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"texts = [\n",
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" # Dis Cyril\n",
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" {\n",
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" \"text\": \"Dis Cyril\",\n",
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" \"yes\": True\n",
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" },\n",
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" # Dis Cyril\n",
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" {\n",
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" \"text\": \"Dis Cyril\",\n",
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" \"yes\": True\n",
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" },\n",
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" # Dis Cyril\n",
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" {\n",
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" \"text\": \"Dis Cyril\",\n",
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" \"yes\": True\n",
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" },\n",
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" # Dis Cyril\n",
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" {\n",
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" \"text\": \"Dis Cyril\",\n",
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" \"yes\": True\n",
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" },\n",
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" # Dis Cyril\n",
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" {\n",
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" \"text\": \"Dis Cyril\",\n",
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" \"yes\": True\n",
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" },\n",
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" # Comment tu t'appelles ?\n",
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" {\n",
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" \"text\": \"Comment tu t'appelles ?\",\n",
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" \"yes\": False\n",
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" },\n",
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" # Quel est ton nom ?\n",
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" {\n",
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" \"text\": \"Quel est ton nom ?\",\n",
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" \"yes\": False\n",
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" },\n",
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" # Tu t'appelles comment ?\n",
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" {\n",
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" \"text\": \"Tu t'appelles comment ?\",\n",
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" \"yes\": False\n",
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" },\n",
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" # Comment dois-je t'appeler ?\n",
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" {\n",
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" \"text\": \"Comment dois-je t'appeler ?\",\n",
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" \"yes\": False\n",
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" },\n",
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" # Peux-tu me dire ton nom ?\n",
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" {\n",
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" \"text\": \"Peux-tu me dire ton nom ?\",\n",
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" \"yes\": False\n",
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" },\n",
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" # Quelle heure est-il ?\n",
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" {\n",
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" \"text\": \"Quelle heure est-il ?\",\n",
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" \"yes\": False\n",
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" },\n",
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" # Peux-tu me donner la météo de demain ?\n",
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" {\n",
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" \"text\": \"Peux-tu me donner la météo de demain ?\",\n",
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" \"yes\": False\n",
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" },\n",
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" # Comment cuisiner une omelette ?\n",
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" {\n",
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" \"text\": \"Comment cuisiner une omelette ?\",\n",
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" \"yes\": False\n",
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" },\n",
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" # Raconte-moi une blague.\n",
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" {\n",
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" \"text\": \"Raconte-moi une blague.\",\n",
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" \"yes\": False\n",
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" },\n",
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" # Quel est le sens de la vie ?\n",
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" {\n",
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" \"text\": \"Quel est le sens de la vie ?\",\n",
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" \"yes\": False\n",
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" },\n",
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" # Comment se rendre à Paris depuis Lyon ?\n",
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" {\n",
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" \"text\": \"Comment se rendre à Paris depuis Lyon ?\",\n",
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" \"yes\": False\n",
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" },\n",
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" # Quels sont les meilleurs films de 2020 ?\n",
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" {\n",
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" \"text\": \"Quels sont les meilleurs films de 2020 ?\",\n",
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" \"yes\": False\n",
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" },\n",
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"]\n",
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"speaker = \"random\"\n",
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"\n",
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"for index, text in enumerate(texts):\n",
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" for i in range(num_files):\n",
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" audio_paths = model.save_wav(text=text,\n",
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" speaker=speaker,\n",
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" sample_rate=sample_rate)\n",
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" \n",
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" # Rename the file to test_(1...1000)\n",
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" os.rename('test.wav', f'../dataset/{\"yes\" if text == \"Dis Cyril\" else \"no\"}/{i + index * num_files}.wav')"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"name": "python",
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"version": "3.12.1"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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dataset/no/.gitkeep
ADDED
File without changes
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dataset/yes/.gitkeep
ADDED
File without changes
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