Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs
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Updated
Aug 6, 2024 - Python
Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs
KUIELAB-MDX-Net got the 2nd place on the Leaderboard A and the 3rd place on the Leaderboard B in the MDX-Challenge ISMIR 2021
Singing Voice Separation via Recurrent Inference and Skip-Filtering Connections - PyTorch Implementation. Demo:
The code for the MaD TwinNet. Demo page:
An official implementation of the ICASSP 2024 paper: Dual-Path TFC-TDF UNet for Music Source Separation
Sound Demixing Challenge 2023
Control mechanisms to the U-Net architecture for doing multiple source separation instruments
Source Separation training codebase for the Sound Demixing Challenge 2023.
logWMSE, an audio quality metric & loss function with support for digital silence target. Useful for training and evaluating audio source separation systems.
The best gradio web-ui for vocal remover that uses demucs and mdx-net. Automatic subtitle creation using faster whisper. Easy one click installation. Fully portable.
Create and explore isolated tracks from music files
Support material and source code for the system described in : "New Sonorities for Jazz Recordings: Separation and Mixing using Deep Neural Networks".
Support material and source code for the model described in : "A Recurrent Encoder-Decoder Approach With Skip-Filtering Connections For Monaural Singing Voice Separation"
Audio Signal Processing Python Tools
Carnatic singing voice separation trained with in-domain data with leakage
Pytorch implementation of MDensenet and sparse NMF. Made for my undergraduate thesis "Music Source Separation with Supervised Learning Methods".
Tensorflow 2.x (with Keras API) Implementation of the TaSNet (Luo et al., 2018)
This project create an api to upload files and download after Spleeter processing.
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