mirror of
https://github.com/Anjok07/ultimatevocalremovergui.git
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247 lines
11 KiB
Markdown
247 lines
11 KiB
Markdown
# Ultimate Vocal Remover GUI v5.6
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<img src="https://raw.githubusercontent.com/Anjok07/ultimatevocalremovergui/master/gui_data/img/UVR_5_6_0.png?raw=true" />
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[](https://github.com/anjok07/ultimatevocalremovergui/releases/latest)
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[](https://github.com/anjok07/ultimatevocalremovergui/releases)
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## About
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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 and v4 4-stem models).
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- **Core Developers**
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- [Anjok07](https://github.com/anjok07)
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- [aufr33](https://github.com/aufr33)
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- **Support the Project**
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- [Donate](https://www.buymeacoffee.com/uvr5)
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## Installation
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These bundles contain the UVR interface, Python, PyTorch, and other dependencies needed to run the application effectively. No prerequisites are required.
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### Windows Installation
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- Please Note:
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- This installer is intended for those running Windows 10 or higher.
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- Application functionality for systems running Windows 7 or lower is not guaranteed.
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- Application functionality for Intel Pentium & Celeron CPUs systems is not guaranteed.
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- You must install UVR to the main C:\ drive. Installing UVR to a secondary drive will cause instability.
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- Download the UVR installer for Windows via the link below:
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- [Main Download Link](https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v5.5.0/UVR_v5.5.1_setup.exe)
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- [Main Download Link mirror](https://www.mediafire.com/file_premium/j8hkuvbic6nqy7i/UVR_v5.5.1_setup.exe/file)
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- Update Package instructions for those who have UVR already installed:
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- If you already have UVR installed you can install this package over it or download it straight from the application.
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<details id="WindowsManual">
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<summary>Windows Manual Installation</summary>
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### Manual Windows Installation
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- Download and extract the repository [here](https://github.com/Anjok07/ultimatevocalremovergui/archive/refs/heads/master.zip)
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- Download and install Python [here](https://www.python.org/ftp/python/3.9.8/python-3.9.8-amd64.exe)
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- Make sure to check "Add python.exe to PATH" during the install
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- Run the following commands from the extracted repo directory:
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```
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python.exe -m pip install -r requirements.txt
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```
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If you have a compatible Nvidia GPU, run the following command:
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```
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python.exe -m pip install --upgrade torch --extra-index-url https://download.pytorch.org/whl/cu117
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```
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If you do not have FFmpeg or Rubber Band installed and want to avoid going through the process of installing them the long way, follow the instructions below.
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**FFmpeg Installation**
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- Download the precompiled build [here](https://www.gyan.dev/ffmpeg/builds/ffmpeg-release-essentials.zip)
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- From the archive, extract the following file to the UVR application directory:
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- ```ffmpeg-5.1.2-essentials_build/bin/ffmpeg.exe```
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**Rubber Band Installation**
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In order to use the Time Stretch or Change Pitch tool, you'll need Rubber Band.
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- Download the precompiled build [here](https://breakfastquay.com/files/releases/rubberband-3.1.2-gpl-executable-windows.zip)
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- From the archive, extract the following files to the UVR application directory:
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- ```rubberband-3.1.2-gpl-executable-windows/rubberband.exe```
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- ```rubberband-3.1.2-gpl-executable-windows/sndfile.dll```
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</details>
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### MacOS Installation
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- Please Note:
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- This bundle is intended for those running macOS Catalina and above.
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- Application functionality for systems running macOS Mojave or lower is not guaranteed.
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- Application functionality for older or budget Mac systems is not guaranteed.
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- Once everything is installed, the application may take up to 5-10 minutes to start for the first time (depending on your Macbook).
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- Download the UVR dmg for MacOS via one of the links below:
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- Mac M1 (arm64) users:
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- [Main Download Link](https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v5.5.0/Ultimate_Vocal_Remover_v5_5_MacOS_arm64.dmg)
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- [Main Download Link mirror](https://www.mediafire.com/file_premium/o0tfneebhqw554e/Ultimate_Vocal_Remover_v5_5_MacOS_arm64.dmg/file)
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- Mac Intel (x86_64) users:
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- [Main Download Link](https://github.com/Anjok07/ultimatevocalremovergui/releases/download/v5.5.0/Ultimate_Vocal_Remover_v5_5_MacOS_x86_64.dmg)
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- [Main Download Link mirror](https://www.mediafire.com/file_premium/m19wucslk9uzpcc/Ultimate_Vocal_Remover_v5_5_MacOS_x86_64.dmg/file)
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<details id="CannotOpen">
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<summary>MacOS Users: Having Trouble Opening UVR?</summary>
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> Due to Apples strict application security, you may need to follow these steps to open UVR.
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>
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> First, run the following command via Terminal.app to allow applications to run from all sources (it's recommended that you re-enable this once UVR opens properly.)
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>
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> ```bash
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> sudo spctl --master-disable
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> ```
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>
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> Second, run the following command to bypass Notarization:
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>
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> ```bash
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> sudo xattr -rd com.apple.quarantine /Applications/Ultimate\ Vocal\ Remover.app
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> ```
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</details>
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<details id="MacInstall">
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<summary>Manual MacOS Installation</summary>
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### Manual MacOS Installation
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- Download and save this repository [here](https://github.com/Anjok07/ultimatevocalremovergui/archive/refs/heads/master.zip)
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- Download and install Python 3.10 [here](https://www.python.org/ftp/python/3.10.9/python-3.10.9-macos11.pkg)
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- From the saved directory run the following -
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```
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pip3 install -r requirements.txt
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```
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- If your Mac is running with an M1, please run the following command next. If not, skip this step. -
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```
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cp /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/_soundfile_data/libsndfile_arm64.dylib /Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/_soundfile_data/libsndfile.dylib
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```
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**FFmpeg Installation**
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- Once everything is done installing, download the correct FFmpeg binary for your system [here](http://www.osxexperts.net) and place it into the main application directory.
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**Rubber Band Installation**
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In order to use the Time Stretch or Change Pitch tool, you'll need Rubber Band.
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- Download the precompiled build [here](https://breakfastquay.com/files/releases/rubberband-3.1.2-gpl-executable-windows.zip)
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- From the archive, extract the following files to the UVR/lib_v5 application directory:
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- ```rubberband-3.1.2-gpl-executable-macos/rubberband```
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This process has been tested on a MacBook Pro 2021 (using M1) and a MacBook Air 2017 and is confirmed to be working on both.
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</details>
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### Linux Installation
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<details id="LinuxInstall">
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<summary>See Linux Installation Instructions</summary>
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<br />
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**These install instructions are for Debian & Arch based Linux systems.**
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- Download and save this repository [here](https://github.com/Anjok07/ultimatevocalremovergui/archive/refs/heads/master.zip)
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- From the saved directory run the following commands in this order-
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**For Debian Based (Ubuntu, Mint, etc.):**
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```
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sudo apt update && sudo apt upgrade
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sudo apt-get update
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sudo apt install ffmpeg
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sudo apt install python3-pip
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sudo apt-get -y install python3-tk
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pip3 install -r requirements.txt
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python3 UVR.py
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```
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**For Arch Based (EndeavourOS):**
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```
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sudo pacman -Syu
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sudo pacman -Sy
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sudo pacman -S python-pip
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sudo pacman -S --noconfirm tk
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sudo pacman -S ffmpeg
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```
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To bypass environment setup and proceed with the installation, use:
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- Take caution; this modifies system files.
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```
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sudo rm /usr/lib/python3.11/EXTERNALLY-MANAGED
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```
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Then proceed with the following in order:
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```
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chmod +x install_packages.sh
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./install_packages.sh
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python UVR.py
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```
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</details>
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### Other Application Notes
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- Nvidia RTX 1060 6GB is the minimum requirement for GPU conversions.
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- Nvidia GPUs with at least 8GBs of V-RAM are recommended.
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- AMD Radeon GPUs are not supported at this time.
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- This application is only compatible with 64-bit platforms.
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- This application relies on the Rubber Band library for the Time-Stretch and Pitch-Shift options.
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- This application relies on FFmpeg to process non-wav audio files.
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- The application will automatically remember your settings when closed.
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- Conversion times will significantly depend on your hardware.
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- These models are computationally intensive.
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### Performance:
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- Model load times are faster.
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- Importing/exporting audio files is faster.
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## Troubleshooting
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### Common Issues
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- If FFmpeg is not installed, the application will throw an error if the user attempts to convert a non-WAV file.
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- Memory allocation errors can usually be resolved by lowering the "Chunk Size".
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### Issue Reporting
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Please be as detailed as possible when posting a new issue.
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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.
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## License
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The **Ultimate Vocal Remover GUI** code is [MIT-licensed](LICENSE).
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- **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.
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## Credits
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- [DilanBoskan](https://github.com/DilanBoskan) - Your contributions at the start of this project were essential to the success of UVR. Thank you!
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- [Bas Curtiz](https://www.youtube.com/user/bascurtiz) - Designed the official UVR logo, icon, banner, and splash screen.
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- [tsurumeso](https://github.com/tsurumeso) - Developed the original VR Architecture code.
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- [Kuielab & Woosung Choi](https://github.com/kuielab) - Developed the original MDX-Net AI code.
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- [Adefossez & Demucs](https://github.com/facebookresearch/demucs) - Developed the original Demucs AI code.
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- [KimberleyJSN](https://github.com/KimberleyJensen) - Advised and aided the implementation of the training scripts for MDX-Net and Demucs. Thank you!
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- [Hv](https://github.com/NaJeongMo/Colab-for-MDX_B) - Helped implement chunks into the MDX-Net AI code. Thank you!
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## Contributing
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- For anyone interested in the ongoing development of **Ultimate Vocal Remover GUI**, please send us a pull request, and we will review it.
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- This project is 100% open-source and free for anyone to use and modify as they wish.
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- We only maintain the development and support for the **Ultimate Vocal Remover GUI** and the models provided.
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## References
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- [1] Takahashi et al., "Multi-scale Multi-band DenseNets for Audio Source Separation", https://arxiv.org/pdf/1706.09588.pdf
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