Spaces:
Running
Running
File size: 7,844 Bytes
e62cec6 |
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 |
{
"cells": [
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [],
"source": [
"import torch\n",
"from transformers import VitsModel, AutoTokenizer\n",
"import torchaudio\n",
"import numpy as np\n",
"import os\n",
"from gtts import gTTS"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"# Đọc và load danh sách từ các file .txt trong thư mục ../data/text\n",
"text_folder = \"../data/text\"\n",
"text_files = sorted([f for f in os.listdir(text_folder) if f.endswith('.txt')]) # Lọc các file .txt trong thư mục"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"✅ Audio saved as hello.mp3 (gTTS - Female)\n"
]
}
],
"source": [
"def text_to_speech(text, filename=\"output.mp3\", gender=\"female\", speed=\"normal\"):\n",
" \"\"\"\n",
" Convert text to speech and save it as an audio file.\n",
" \n",
" Parameters:\n",
" text (str): The text to convert.\n",
" filename (str): The output file name.\n",
" gender (str): \"male\" (use MMS-TTS) or \"female\" (use gTTS).\n",
" speed (str): \"slow\", \"normal\", or \"fast\" (only for gTTS).\n",
" \"\"\"\n",
" lang = \"vi\"\n",
" \n",
" if gender.lower() == \"female\":\n",
" # gTTS chỉ có giọng nữ\n",
" speed_mapping = {\"slow\": True, \"normal\": False, \"fast\": False}\n",
" slow = speed_mapping.get(speed.lower(), False)\n",
" \n",
" tts = gTTS(text=text, lang=lang, slow=slow)\n",
" tts.save(filename)\n",
" print(f\"✅ Audio saved as {filename}\")\n",
" \n",
" elif gender.lower() == \"male\":\n",
" # MMS-TTS cho giọng nam\n",
" model = VitsModel.from_pretrained(\"facebook/mms-tts-vie\")\n",
" tokenizer = AutoTokenizer.from_pretrained(\"facebook/mms-tts-vie\")\n",
" \n",
" inputs = tokenizer(text, return_tensors=\"pt\")\n",
" with torch.no_grad():\n",
" output = model(**inputs).waveform\n",
" \n",
" # Lưu file âm thanh\n",
" torchaudio.save(filename, output, 24000)\n",
" print(f\"✅ Audio saved as {filename}\")\n",
" \n",
" else:\n",
" print(\"⚠️ Giọng không hợp lệ! Chỉ hỗ trợ 'male' hoặc 'female'.\")"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"✅ Audio saved as 1_1.wav (gTTS - Female)\n",
"Đã lưu 1_1.wav\n",
"✅ Audio saved as 1_10.wav (gTTS - Female)\n",
"Đã lưu 1_10.wav\n",
"✅ Audio saved as 1_11.wav (gTTS - Female)\n",
"Đã lưu 1_11.wav\n",
"✅ Audio saved as 1_12.wav (gTTS - Female)\n",
"Đã lưu 1_12.wav\n",
"✅ Audio saved as 1_13.wav (gTTS - Female)\n",
"Đã lưu 1_13.wav\n",
"✅ Audio saved as 1_14.wav (gTTS - Female)\n",
"Đã lưu 1_14.wav\n",
"✅ Audio saved as 1_15.wav (gTTS - Female)\n",
"Đã lưu 1_15.wav\n",
"✅ Audio saved as 1_16.wav (gTTS - Female)\n",
"Đã lưu 1_16.wav\n",
"✅ Audio saved as 1_17.wav (gTTS - Female)\n",
"Đã lưu 1_17.wav\n",
"✅ Audio saved as 1_2.wav (gTTS - Female)\n",
"Đã lưu 1_2.wav\n",
"✅ Audio saved as 1_3.wav (gTTS - Female)\n",
"Đã lưu 1_3.wav\n",
"✅ Audio saved as 1_4.wav (gTTS - Female)\n",
"Đã lưu 1_4.wav\n",
"✅ Audio saved as 1_5.wav (gTTS - Female)\n",
"Đã lưu 1_5.wav\n",
"✅ Audio saved as 1_6.wav (gTTS - Female)\n",
"Đã lưu 1_6.wav\n",
"✅ Audio saved as 1_7.wav (gTTS - Female)\n",
"Đã lưu 1_7.wav\n",
"✅ Audio saved as 1_8.wav (gTTS - Female)\n",
"Đã lưu 1_8.wav\n",
"✅ Audio saved as 1_9.wav (gTTS - Female)\n",
"Đã lưu 1_9.wav\n",
"✅ Audio saved as 2_1.wav (gTTS - Female)\n",
"Đã lưu 2_1.wav\n",
"✅ Audio saved as 2_10.wav (gTTS - Female)\n",
"Đã lưu 2_10.wav\n",
"✅ Audio saved as 2_11.wav (gTTS - Female)\n",
"Đã lưu 2_11.wav\n",
"✅ Audio saved as 2_12.wav (gTTS - Female)\n",
"Đã lưu 2_12.wav\n",
"✅ Audio saved as 2_13.wav (gTTS - Female)\n",
"Đã lưu 2_13.wav\n",
"✅ Audio saved as 2_14.wav (gTTS - Female)\n",
"Đã lưu 2_14.wav\n",
"✅ Audio saved as 2_15.wav (gTTS - Female)\n",
"Đã lưu 2_15.wav\n",
"✅ Audio saved as 2_16.wav (gTTS - Female)\n",
"Đã lưu 2_16.wav\n",
"✅ Audio saved as 2_17.wav (gTTS - Female)\n",
"Đã lưu 2_17.wav\n",
"✅ Audio saved as 2_18.wav (gTTS - Female)\n",
"Đã lưu 2_18.wav\n",
"✅ Audio saved as 2_2.wav (gTTS - Female)\n",
"Đã lưu 2_2.wav\n",
"✅ Audio saved as 2_3.wav (gTTS - Female)\n",
"Đã lưu 2_3.wav\n",
"✅ Audio saved as 2_4.wav (gTTS - Female)\n",
"Đã lưu 2_4.wav\n",
"✅ Audio saved as 2_5.wav (gTTS - Female)\n",
"Đã lưu 2_5.wav\n",
"✅ Audio saved as 2_6.wav (gTTS - Female)\n",
"Đã lưu 2_6.wav\n",
"✅ Audio saved as 2_7.wav (gTTS - Female)\n",
"Đã lưu 2_7.wav\n",
"✅ Audio saved as 2_8.wav (gTTS - Female)\n",
"Đã lưu 2_8.wav\n",
"✅ Audio saved as 2_9.wav (gTTS - Female)\n",
"Đã lưu 2_9.wav\n",
"✅ Audio saved as 3_1.wav (gTTS - Female)\n",
"Đã lưu 3_1.wav\n",
"✅ Audio saved as 3_10.wav (gTTS - Female)\n",
"Đã lưu 3_10.wav\n",
"✅ Audio saved as 3_11.wav (gTTS - Female)\n",
"Đã lưu 3_11.wav\n",
"✅ Audio saved as 3_12.wav (gTTS - Female)\n",
"Đã lưu 3_12.wav\n",
"✅ Audio saved as 3_14.wav (gTTS - Female)\n",
"Đã lưu 3_14.wav\n",
"✅ Audio saved as 3_17.wav (gTTS - Female)\n",
"Đã lưu 3_17.wav\n",
"✅ Audio saved as 3_18.wav (gTTS - Female)\n",
"Đã lưu 3_18.wav\n",
"✅ Audio saved as 3_19.wav (gTTS - Female)\n",
"Đã lưu 3_19.wav\n",
"✅ Audio saved as 3_2.wav (gTTS - Female)\n",
"Đã lưu 3_2.wav\n",
"✅ Audio saved as 3_3.wav (gTTS - Female)\n",
"Đã lưu 3_3.wav\n",
"✅ Audio saved as 3_4.wav (gTTS - Female)\n",
"Đã lưu 3_4.wav\n",
"✅ Audio saved as 3_5.wav (gTTS - Female)\n",
"Đã lưu 3_5.wav\n",
"✅ Audio saved as 3_6.wav (gTTS - Female)\n",
"Đã lưu 3_6.wav\n",
"✅ Audio saved as 3_7.wav (gTTS - Female)\n",
"Đã lưu 3_7.wav\n",
"✅ Audio saved as 3_8.wav (gTTS - Female)\n",
"Đã lưu 3_8.wav\n",
"✅ Audio saved as 3_9.wav (gTTS - Female)\n",
"Đã lưu 3_9.wav\n"
]
}
],
"source": [
"for text_file in text_files:\n",
" with open(f\"../data/text/{text_file}\", \"r\", encoding=\"utf-8\") as file:\n",
" content = file.read()\n",
" audio_file = text_file.replace(\"txt\",\"wav\")\n",
" text_to_speech(content, audio_file)"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.7"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
|