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# Retrieval-based-Voice-Conversion-WebUI
[![madewithlove](https://forthebadge.com/images/badges/built-with-love.svg)](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI)
[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)
[![Licence](https://img.shields.io/github/license/liujing04/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/%E4%BD%BF%E7%94%A8%E9%9C%80%E9%81%B5%E5%AE%88%E7%9A%84%E5%8D%8F%E8%AE%AE-LICENSE.txt)
[![Huggingface](https://img.shields.io/badge/🤗%20-Spaces-blue.svg?style=for-the-badge)](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
### 使用了RVC的实时语音转换 : [w-okada/voice-changer](https://github.com/w-okada/voice-changer)
------
一个基于VITS的简单易用的SVC框架。
[**English**](./README_en.md) | [**中文简体**](./README.md)
> 点此查看我们的[演示视频](https://www.bilibili.com/video/BV1pm4y1z7Gm/) !
## 简介
本仓库具有以下特点:
+ 使用top1特征模型检索来杜绝音色泄露
+ 即便在相对较差的显卡上也能快速训练;
+ 使用少量数据进行训练也能得到较好结果;
+ 可以通过模型融合来改变音色;
+ 简单易用的WebUI界面;
+ 可调用UVR5模型来快速分离人声和伴奏。
## 环境配置
我们推荐你使用poetry来配置环境。
以下指令需在Python版本大于3.8的环境当中执行:
```bash
# 安装Pytorch及其核心依赖若已安装则跳过
# 参考自: https://pytorch.org/get-started/locally/
pip install torch torchvision torchaudio
# 安装 Poetry 依赖管理工具, 若已安装则跳过
# 参考自: https://python-poetry.org/docs/#installation
curl -sSL https://install.python-poetry.org | python3 -
# 通过poetry安装依赖
poetry install
```
你也可以通过pip来安装依赖
```bash
pip install -r requirements.txt
```
## 其他预模型准备
RVC需要其他的一些预模型来推理和训练。
你可以从我们的[Huggingface space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)下载到这些模型。
以下是一份清单包括了所有RVC所需的预模型和其他文件的名称:
```bash
hubert_base.pt
./pretrained
./uvr5_weights
#如果你正在使用Windows则你可能需要这个文件夹若FFmpeg已安装则跳过
./ffmpeg
```
之后使用以下指令来调用Webui:
```bash
python infer-web.py
```
如果你正在使用Windows你可以直接下载并解压`RVC-beta.7z` 来使用RVC运行`go-web.bat`来启动WebUI。
我们将在两周内推出一个英文版本的WebUI.
仓库内还有一份`小白简易教程.doc`以供参考。
## 参考项目
+ [ContentVec](https://github.com/auspicious3000/contentvec/)
+ [VITS](https://github.com/jaywalnut310/vits)
+ [HIFIGAN](https://github.com/jik876/hifi-gan)
+ [Gradio](https://github.com/gradio-app/gradio)
+ [FFmpeg](https://github.com/FFmpeg/FFmpeg)
+ [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui)
+ [audio-slicer](https://github.com/openvpi/audio-slicer)
## 感谢所有贡献者作出的努力
<a href="https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/graphs/contributors" target="_blank">
<img src="https://contrib.rocks/image?repo=liujing04/Retrieval-based-Voice-Conversion-WebUI" />
</a>

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# Retrieval-based-Voice-Conversion-WebUI
[![madewithlove](https://forthebadge.com/images/badges/built-with-love.svg)](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI)
[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)
[![Licence](https://img.shields.io/github/license/liujing04/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/%E4%BD%BF%E7%94%A8%E9%9C%80%E9%81%B5%E5%AE%88%E7%9A%84%E5%8D%8F%E8%AE%AE-LICENSE.txt)
[![Huggingface](https://img.shields.io/badge/🤗%20-Spaces-blue.svg?style=for-the-badge)](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
### Realtime Voice Conversion Software using RVC : [w-okada/voice-changer](https://github.com/w-okada/voice-changer)
------
An easy-to-use SVC framework based on VITS.
[**English**](./README.md) | [**中文简体**](./README_zh_CN.md)
> Check our [Demo Video](https://www.bilibili.com/video/BV1pm4y1z7Gm/) here!
## Summary
This repository has the following features:
+ Using top1 feature model retrieval to reduce tone leakage;
+ Easy and fast training, even on relatively poor graphics cards;
+ Training with a small amount of data also obtains relatively good results;
+ Supporting model fusion to change timbres;
+ Easy-to-use Webui interface;
+ Use the UVR5 model to quickly separate vocals and instruments.
## Preparing the environment
We recommend you install the dependencies through poetry.
The following commands need to be executed in the environment of Python version 3.8 or higher:
```bash
# Install PyTorch-related core dependencies, skip if installed
# Reference: https://pytorch.org/get-started/locally/
pip install torch torchvision torchaudio
# Install the Poetry dependency management tool, skip if installed
# Reference: https://python-poetry.org/docs/#installation
curl -sSL https://install.python-poetry.org | python3 -
# Install the project dependencies
poetry install
```
You can also use pip to install the dependencies
```bash
pip install -r requirements.txt
```
## Preparation of other Pre-models
RVC requires other pre-models to infer and train.
You need to download them from our [Huggingface space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/).
Here's a list of Pre-models and other files that RVC needs:
```bash
hubert_base.pt
./pretrained
./uvr5_weights
#If you are using Windows, you may also need this dictionary, skip if FFmpeg is installed
ffmpeg.exe
```
Then use this command to start Webui:
```bash
python infer-web.py
```
If you are using Windows, you can download and extract `RVC-beta.7z` to use RVC directly and use `go-web.bat` to start Webui.
We will develop an English version of the WebUI in 2 weeks.
There's also a tutorial on RVC in Chinese and you can check it out if needed.
## Credits
## Thanks to all contributors for their efforts
<a href="https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/graphs/contributors" target="_blank">
<img src="https://contrib.rocks/image?repo=liujing04/Retrieval-based-Voice-Conversion-WebUI" />
</a>