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Running
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Zero
title: Vocal Separation SOTA | |
emoji: 🎤 | |
colorFrom: red | |
colorTo: gray | |
sdk: gradio | |
sdk_version: 4.37.2 | |
app_file: app.py | |
pinned: false | |
license: mit | |
# Vocal Separation SOTA | |
[![Open in Spaces](https://huggingface.co/datasets/huggingface/badges/resolve/main/open-in-hf-spaces-lg-dark.svg)](https://huggingface.co/spaces/JacobLinCool/vocal-separation) | |
This is a demo for SOTA vocal separation models. Upload an audio file and the model will separate the vocals from the background music. | |
Based on the result of [MDX23](https://www.aicrowd.com/challenges/sound-demixing-challenge-2023/problems/music-demixing-track-mdx-23/leaderboards), the current SOTA model is [BS-RoFormer](https://arxiv.org/abs/2309.02612). | |
For comparison, you can also try the Mel-RoFormer model (a variant of BS-RoFormer) and the popular HTDemucs FT model. | |
## Models | |
- BS-RoFormer | |
- Mel-RoFormer | |
- HTDemucs FT | |
> The models are trained by the [UVR project](https://github.com/Anjok07/ultimatevocalremovergui). | |
> The code of this app is available on [GitHub](https://github.com/JacobLinCool/vocal-separation), any contributions should go there. Hugging Face Space is force pushed by GitHub Actions. | |