ultimatevocalremovergui/README.md

# Ultimate Vocal Remover GUI v5.4.0
<img src="https://raw.githubusercontent.com/Anjok07/ultimatevocalremovergui/master/img/UVR_v54.png?raw=true" />

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English | [简体中文](README_CN.md)

## About

This application uses state-of-the-art source separation models to remove vocals from audio files. UVR's core developers trained all of the models provided in this package (except for the Demucs v3 4-stem models).

- **Core Developers**
    - [Anjok07](https://github.com/anjok07)
    - [aufr33](https://github.com/aufr33)

- **Support the Project**
    - [Donate](https://www.buymeacoffee.com/uvr5)

## Installation

### Windows Installation

This installation bundle contains the UVR interface, Python, PyTorch, and other dependencies needed to run the application effectively. No prerequisites are required.

- Please Note:
    - This installer is intended for those running Windows 10 or higher. 
    - Application functionality for systems running Windows 7 or lower is not guaranteed.
    - Application functionality for Intel Pentium & Celeron CPUs systems is not guaranteed.

- Download the UVR installer via the link below:
    - [Main Download Link](https://uvr.uvr.workers.dev/UVR_v5.4.0_setup.exe)
    - [Main Download Link mirror](https://www.mediafire.com/file/nrakuh8t8p993y8/UVR_v5.4.0_setup.exe)
- Update Package instructions for those who have UVR already installed:
    - [Update Package](https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v5.4.0/UVR_v5.4_Update_Package.exe)
- **Optional**
    - Additional models and application patches can be downloaded via the "Settings" menu within the application.

- **Please Note:** Please install UVR to the main C:\ drive if you use the Windows installer. Installing UVR to a secondary drive will cause application instability.

### Other Platforms

This application does not currently run efficiently on Mac & Linux platforms yet. However, you can experiment with it by performing a manual install (see the **Manual Developer Installation** section below for more information). Some features may not be available on non-Windows platforms. An all-in-one version for MacOS will be coming soon.

## Application Manual

**General Options**

<img src="https://github.com/Anjok07/ultimatevocalremovergui/blob/master/img/gen_opt.png?raw=true" />

**VR Architecture Options**

<img src="https://github.com/Anjok07/ultimatevocalremovergui/blob/master/img/vr_opt.png?raw=true" />

**MDX-Net Options**

<img src="https://github.com/Anjok07/ultimatevocalremovergui/blob/master/img/mdx_opt.png?raw=true" />

**Demucs v3 Options**

<img src="https://github.com/Anjok07/ultimatevocalremovergui/blob/master/img/demucs_opt.png?raw=true" />

**Ensemble Options**

<img src="https://github.com/Anjok07/ultimatevocalremovergui/blob/master/img/ense_opt.png?raw=true" />

**User Ensemble**

<img src="https://github.com/Anjok07/ultimatevocalremovergui/blob/master/img/user_ens_opt.png?raw=true" />

### Other Application Notes

- Nvidia GPUs with at least 8GBs of V-RAM are recommended.
- This application is only compatible with 64-bit platforms. 
- This application relies on Sox - Sound Exchange for Noise Reduction.
- This application relies on FFmpeg to process non-wav audio files.
- The application will automatically remember your settings when closed.
- Conversion times will significantly depend on your hardware. 
- These models are computationally intensive. Please proceed with caution and pay attention to your PC to ensure it doesn't overheat. ***We are not responsible for any hardware damage.***

## Change Log

- **v4 vs. v5**
   - The v5 models significantly outperform the v4 models.
   - The extraction's aggressiveness can be adjusted using the "Aggression Setting." The default value of 10 is optimal for most tracks.
   - All v2 and v4 models have been removed.
   - Ensemble Mode added - This allows the user to get the most robust result from each model.
   - Stacked models have been entirely removed.
     The new aggression setting and model ensembling have replaced the stacked model feature.
   - The NFFT, HOP_SIZE, and SR values are now set internally.
   - The MDX-NET AI engine and models have been added.
     - This is a brand new feature added to the UVR GUI. 
     - 4 MDX-Net models are included in this package.
     - The MDX-Net models provided were trained by the core UVR developers
     - This network is less resource-intensive but incredibly powerful.
     - MDX-Net is a Hybrid Waveform/Spectrogram network.
   - The Demucs v3 AI engine and models have been added.
   - The ability to separate all 4 stems through Demucs v3.

## Troubleshooting

### Common Issues

- If FFmpeg is not installed, the application will throw an error if the user attempts to convert a non-WAV file.
- Memory allocation errors can usually be resolved by lowering the "Chunk Size".

### Issue Reporting

Please be as detailed as possible when posting a new issue. 

If possible, click the "Settings Button" to the left of the "Start Processing" button and click the "Error Log" button for detailed error information that can be provided to us.

## Manual Installation (For Developers)

**PLEASE NOTE:** Manual installs are **not** possible at this time! I am rewriting UVR's entire codebase for better readability, optimized application performance, enhanced features, and streamlined cross-platform compatibility. The new code will be released **before** the end of 2022.

## License

The **Ultimate Vocal Remover GUI** code is [MIT-licensed](LICENSE). 

- **Please Note:** For all third-party application developers who wish to use our models, please honor the MIT license by providing credit to UVR and its developers.

## Credits

- [DilanBoskan](https://github.com/DilanBoskan) - Your contributions at the start of this project were essential to the success of UVR. Thank you!
- [Bas Curtiz](https://www.youtube.com/user/bascurtiz) - Designed the official UVR logo, icon, banner, and splash screen.
- [tsurumeso](https://github.com/tsurumeso) - Developed the original VR Architecture code. 
- [Kuielab & Woosung Choi](https://github.com/kuielab) - Developed the original MDX-Net AI code. 
- [Adefossez & Demucs](https://github.com/facebookresearch/demucs) - Developed the original Demucs AI code. 
- [KimberleyJSN](https://github.com/KimberleyJensen) - Advised and aided the implementation of the training scripts for MDX-Net and Demucs. Thank you!
- [Hv](https://github.com/NaJeongMo/Colab-for-MDX_B) - Helped implement chunks into the MDX-Net AI code. Thank you!

## Contributing

- For anyone interested in the ongoing development of **Ultimate Vocal Remover GUI**, please send us a pull request, and we will review it. 
- This project is 100% open-source and free for anyone to use and modify as they wish. 
- We only maintain the development and support for the **Ultimate Vocal Remover GUI** and the models provided. 

## References
- [1] Takahashi et al., "Multi-scale Multi-band DenseNets for Audio Source Separation", https://arxiv.org/pdf/1706.09588.pdf