Retrieval-based-Voice-Conversion-WebUI

An easy-to-use SVC framework based on VITS.

[![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-yellow.svg?style=for-the-badge)](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/) [![Discord](https://img.shields.io/badge/RVC%20Developers-Discord-7289DA?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/HcsmBBGyVk)
------ [**Changelog**](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Changelog_CN.md) [**English**](./README.en.md) | [**中文简体**](../README.md) | [**日本語**](./README.ja.md) | [**한국어**](./README.ko.md) > Check our [Demo Video](https://www.bilibili.com/video/BV1pm4y1z7Gm/) here! > Realtime Voice Conversion Software using RVC : [w-okada/voice-changer](https://github.com/w-okada/voice-changer) > The dataset for the pre-training model uses nearly 50 hours of high quality VCTK open source dataset. > High quality licensed song datasets will be added to training-set one after another for your use, without worrying about copyright infringement. ## Summary This repository has the following features: + Reduce tone leakage by replacing source feature to training-set feature using top1 retrieval; + Easy and fast training, even on relatively poor graphics cards; + Training with a small amount of data also obtains relatively good results (>=10min low noise speech recommended); + Supporting model fusion to change timbres (using ckpt processing tab->ckpt merge); + 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 #For Windows + Nvidia Ampere Architecture(RTX30xx), you need to specify the cuda version corresponding to pytorch according to the experience of https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/issues/21 #pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117 # 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 **Notice**: `faiss 1.7.2` will raise Segmentation Fault: 11 under `MacOS`, please use `pip install faiss-cpu==1.7.0` if you use pip to install it manually. ```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. There's also a tutorial on RVC in Chinese and you can check it out if needed. ## Credits + [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) ## Thanks to all contributors for their efforts