Banquet: A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems
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Updated
Jul 19, 2024 - Jupyter Notebook
Banquet: A Stem-Agnostic Single-Decoder System for Music Source Separation Beyond Four Stems
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.
Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs
An official implementation of the ICASSP 2024 paper: Dual-Path TFC-TDF UNet for Music Source Separation
This project create an api to upload files and download after Spleeter processing.
Neural Networks for Interference Reduction in Multi-track Recordings. The Convolutional Autoencoders (CAEs) and the truncated-UNet (t-UNet).
Carnatic singing voice separation trained with in-domain data with leakage
Create and explore isolated tracks from music files
Implementation of Demucs in PyTorch.
Sound Demixing Challenge 2023
Intel OpenVINO competition
Source Separation training codebase for the Sound Demixing Challenge 2023.
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
The code for the MaD TwinNet. Demo page:
Pytorch implementation of subband decomposition
Tensorflow 2.x (with Keras API) Implementation of the TaSNet (Luo et al., 2018)
Pytorch implementation of MDensenet and sparse NMF. Made for my undergraduate thesis "Music Source Separation with Supervised Learning Methods".
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