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{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyP+PQNqeOew0Ap+hzVH7i8r",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/KevinWang676/Bert-VITS2-quick-start/blob/main/Bert_VITS2_Guide.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"### 0. 如果使用AutoDL，请运行下载packages的加速代码："
],
"metadata": {
"id": "CGg4SV4ObQaT"
}
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "MgfAJzoHbK2-"
},
"outputs": [],
"source": [
"!source /etc/network_turbo\n",
"!python -m pip install -i https://pypi.tuna.tsinghua.edu.cn/simple -r requirements.txt"
]
},
{
"cell_type": "markdown",
"source": [
"### 1. 数据集重采样和标注"
],
"metadata": {
"id": "sloMn00-bgxY"
}
},
{
"cell_type": "code",
"source": [
"import subprocess\n",
"import random\n",
"import os\n",
"from pathlib import Path\n",
"import librosa\n",
"from scipy.io import wavfile\n",
"import numpy as np\n",
"import torch\n",
"import csv\n",
"import whisper\n",
"\n",
"a=\"linghua\" # 请在这里修改说话人的名字，目前只支持中文语音\n",
"\n",
"def split_long_audio(model, filepaths, save_dir=\"data_dir\", out_sr=44100):\n",
" if isinstance(filepaths, str):\n",
" filepaths = [filepaths]\n",
"\n",
" for file_idx, filepath in enumerate(filepaths):\n",
"\n",
" save_path = Path(save_dir)\n",
" save_path.mkdir(exist_ok=True, parents=True)\n",
"\n",
" print(f\"Transcribing file {file_idx}: '{filepath}' to segments...\")\n",
" result = model.transcribe(filepath, word_timestamps=True, task=\"transcribe\", beam_size=5, best_of=5)\n",
" segments = result['segments']\n",
"\n",
" wav, sr = librosa.load(filepath, sr=None, offset=0, duration=None, mono=True)\n",
" wav, _ = librosa.effects.trim(wav, top_db=20)\n",
" peak = np.abs(wav).max()\n",
" if peak > 1.0:\n",
" wav = 0.98 * wav / peak\n",
" wav2 = librosa.resample(wav, orig_sr=sr, target_sr=out_sr)\n",
" wav2 /= max(wav2.max(), -wav2.min())\n",
"\n",
" for i, seg in enumerate(segments):\n",
" start_time = seg['start']\n",
" end_time = seg['end']\n",
" wav_seg = wav2[int(start_time * out_sr):int(end_time * out_sr)]\n",
" wav_seg_name = f\"{a}_{i}.wav\" # 在上方可修改名字\n",
" out_fpath = save_path / wav_seg_name\n",
" wavfile.write(out_fpath, rate=out_sr, data=(wav_seg * np.iinfo(np.int16).max).astype(np.int16))"
],
"metadata": {
"id": "LtLBGhGCbYYh"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"whisper_size = \"large\"\n",
"whisper_model = whisper.load_model(whisper_size)"
],
"metadata": {
"id": "--wS7X95b--m"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"### 请将下方的**linghua.wav**修改成自己的.wav文件名，路径./custom_character_voice/**linghua**/也可以改为自己的角色名\n"
],
"metadata": {
"id": "0wAE5HRXcCQ_"
}
},
{
"cell_type": "code",
"source": [
"split_long_audio(whisper_model, \"./linghua.wav\", \"./custom_character_voice/linghua/\")"
],
"metadata": {
"id": "3f7ljJhCcEbd"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"!python short_audio_transcribe.py --languages \"C\" --whisper_size large"
],
"metadata": {
"id": "rBJDPe3ccVrP"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"#### 处理完成后，可以打开\"./filelists/short_character_anno.list\"文件进行微调"
],
"metadata": {
"id": "4pesbcMjcikn"
}
},
{
"cell_type": "markdown",
"source": [
"### 2. 文本处理"
],
"metadata": {
"id": "9pxo4KL-ceGI"
}
},
{
"cell_type": "code",
"source": [
"!python preprocess_text.py"
],
"metadata": {
"id": "_xfO2r_0cgCT"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"### 3. 运行bert_gen.py"
],
"metadata": {
"id": "DoDs7lL6cu01"
}
},
{
"cell_type": "code",
"source": [
"!python bert_gen.py"
],
"metadata": {
"id": "jyiT28B3cxWX"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"### 4. 训练"
],
"metadata": {
"id": "dHQPDFdbc04g"
}
},
{
"cell_type": "markdown",
"source": [
"#### 可以在\"./configs/config.json\"更改训练参数，包括epoch,学习率等"
],
"metadata": {
"id": "gHNws-IUc6Sd"
}
},
{
"cell_type": "code",
"source": [
"cd monotonic_align"
],
"metadata": {
"id": "S56s0emH8BqN"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"!python setup.py build_ext --inplace"
],
"metadata": {
"id": "6rLsyel-8KKc"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"source": [
"cd .."
],
"metadata": {
"id": "mUgA6ho2-XAN"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"#### 若为首次训练，请运行："
],
"metadata": {
"id": "8vJ6VF__dCYW"
}
},
{
"cell_type": "code",
"source": [
"!python train_ms.py -c ./configs/config.json"
],
"metadata": {
"id": "iwHCWVijc5h6"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"#### 若为继续训练，请运行："
],
"metadata": {
"id": "skAGULw2dKXW"
}
},
{
"cell_type": "code",
"source": [
"!python train_ms.py -c ./configs/config.json --cont"
],
"metadata": {
"id": "Ru09Gmavc2t4"
},
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"### 5. 推理"
],
"metadata": {
"id": "IinmucfadVLU"
}
},
{
"cell_type": "markdown",
"source": [
"#### 请将下方的**G_lastest.pth**修改为最新的模型文件，如**G_3400.pth**"
],
"metadata": {
"id": "psBRLH_TdZDb"
}
},
{
"cell_type": "code",
"source": [
"!python inference_webui.py --model_dir ./logs/OUTPUT_MODEL/G_latest.pth"
],
"metadata": {
"id": "lOWVtUgMdUZa"
},
"execution_count": null,
"outputs": []
}
]
} |