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https://github.com/aryanvbw/aivoiceclonerpro

Revolutionize Your Voice with AI Voice Cloner! Transform Your Speech into Your Favorite Celebrity's or Your Customized Voice. Our Cutting-edge Tool Converts Text or Any Audio into Your Desired Voice – Your Voice, Your Way
https://github.com/aryanvbw/aivoiceclonerpro

ai artificial-intelligence artificial-neural-networks aryanvbw clone clonevoice pytorch voice-clone voice-cloneai voiceclone

Last synced: 9 days ago
JSON representation

Host: GitHub
URL: https://github.com/aryanvbw/aivoiceclonerpro
Owner: AryanVBW
License: mit
Created: 2023-09-30T12:55:35.000Z (about 1 year ago)
Default Branch: main
Last Pushed: 2024-10-16T08:46:36.000Z (30 days ago)
Last Synced: 2024-10-18T03:24:28.482Z (28 days ago)
Topics: ai, artificial-intelligence, artificial-neural-networks, aryanvbw, clone, clonevoice, pytorch, voice-clone, voice-cloneai, voiceclone
Language: Python
Homepage: https://aryanvbw.github.io/AiVoiceClonerPRO/
Size: 12.8 MB
Stars: 30
Watchers: 2
Forks: 8
Open Issues: 10
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

README

AiVoiceClonerPRO

An easy-to-use Voice Conversion framework based on VITS, powered by python

[![Open In Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)
[![Licence](https://img.shields.io/github/license/RVC-Project/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE)
[![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/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/docs/Changelog_EN.md) | [**FAQ (Frequently Asked Questions)**](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/wiki/FAQ-(Frequently-Asked-Questions))

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.

> Please look forward to the pretrained base model of RVCv3, which has larger parameters, more training data, better results, unchanged inference speed, and requires less training data for training.

## Summary
This repository has the following features:
+ Reduce tone leakage by replacing the 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.
+ Use the most powerful High-pitch Voice Extraction Algorithm [InterSpeech2023-RMVPE](#Credits) to prevent the muted sound problem. Provides the best results (significantly) and is faster, with even lower resource consumption than Crepe_full.
+ AMD/Intel graphics cards acceleration supported.
+ Intel ARC graphics cards acceleration with IPEX supported.

## Preparing the environment
The following commands need to be executed in the environment of Python version 3.8 or higher.

(Windows/Linux)
First install the main dependencies through pip:
```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/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/issues/21
#pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117

#For Linux + AMD Cards, you need to use the following pytorch versions:
#pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/rocm5.4.2
```

Then can use poetry to install the other dependencies:
```bash
# 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 them:
```bash

for Nvidia graphics cards
pip install -r requirements.txt

for AMD/Intel graphics cards on Windows (DirectML)：
pip install -r requirements-dml.txt

for Intel ARC graphics cards on Linux / WSL using Python 3.10:
pip install -r requirements-ipex.txt

for AMD graphics cards on Linux (ROCm):
pip install -r requirements-amd.txt
```

------
Mac users can install dependencies via `run.sh`:
```bash
sh ./run.sh
```

## 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
./assets/hubert/hubert_base.pt

./assets/pretrained

./assets/uvr5_weights

Additional downloads are required if you want to test the v2 version of the model.

./assets/pretrained_v2

If you want to test the v2 version model (the v2 version model has changed the input from the 256 dimensional feature of 9-layer Hubert+final_proj to the 768 dimensional feature of 12-layer Hubert, and has added 3 period discriminators), you will need to download additional features

./assets/pretrained_v2

#If you are using Windows, you may also need these two files, skip if FFmpeg and FFprobe are installed
ffmpeg.exe

https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe

ffprobe.exe

https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe

If you want to use the latest SOTA RMVPE vocal pitch extraction algorithm, you need to download the RMVPE weights and place them in the RVC root directory

https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.pt

For AMD/Intel graphics cards users you need download:

https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.onnx

```

Intel ARC graphics cards users needs to run `source /opt/intel/oneapi/setvars.sh` command before starting Webui.

Then use this command to start Webui:
```bash
python infer-web.py
```

If you are using Windows or macOS, you can download and extract `RVC-beta.7z` to use RVC directly by using `go-web.bat` on windows or `sh ./run.sh` on macOS to start Webui.

## ROCm Support for AMD graphic cards (Linux only)
To use ROCm on Linux install all required drivers as described [here](https://rocm.docs.amd.com/en/latest/deploy/linux/os-native/install.html).

On Arch use pacman to install the driver:
````
pacman -S rocm-hip-sdk rocm-opencl-sdk
````

You might also need to set these environment variables (e.g. on a RX6700XT):
````
export ROCM_PATH=/opt/rocm
export HSA_OVERRIDE_GFX_VERSION=10.3.0
````
Also make sure your user is part of the `render` and `video` group:
````
sudo usermod -aG render $USERNAME
sudo usermod -aG video $USERNAME
````
After that you can run the WebUI:
```bash
python infer-web.py
```

## Credits
+ [RVC-Projects](https://github.com/RVC-Project)
+ [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)
+ [Vocal pitch extraction:RMVPE](https://github.com/Dream-High/RMVPE)
+ The pretrained model is trained and tested by [yxlllc](https://github.com/yxlllc/RMVPE) and [RVC-Boss](https://github.com/RVC-Boss).

## Thanks to all contributors for their efforts