GUI for a Vocal Remover that uses Deep Neural Networks.
Ultimate Vocal Remover 5 with Gradio UI. Separate an audio file into various stems, using multiple models
Self-hostable web app for isolating the vocal, accompaniment, bass, and drums of any song. Supports Spleeter, Demucs, BS-RoFormer. Built with React and Django.
The official repo of NBC & SpatialNet for multichannel speech separation, denoising, and dereverberation
The BEST music separation model with help of A.I. ... to my ears ! 👂👂
[NeurIPS 2025] Separate Anything in Audio with Zero Training
Ultimate Vocal Remover for Google Colab
Unsupervised blind source separation of mixed images and sounds with variational auto-encoders.
DeepExtractV2 – lightning-fast, high-quality audio separator. Instantly isolate vocals, drums, bass, and more from any track. Ideal for creators, DJs, and audio pros.
Pack cuda environment for bytesep music separation and provide a simple gui.
[🏆 IJCV 2025 & ACCV 2024 Best Paper Honorable Mention] Official pytorch implementation of the paper "High-Quality Visually-Guided Sound Separation from Diverse Categories"
Official implementation of TISDiSS, a scalable framework for discriminative source separation.
Unofficial Pytorch implementation of SepTDA.
PerfectPitch a music separation tool, with the backend & models of Spleeter.
This repository provides implementations for sparse graph separation, power graph experiments, and chemical property prediction.
Repository for training models for music source separation.
🎤 Explore and create unique vocal effects in a modular, real-time sound lab designed for unlimited creative freedom and sound design innovation.
A Baseline for Universal Sound Separation Task
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