GUI for a Vocal Remover that uses Deep Neural Networks.
ODAS: Open embeddeD Audition System
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. Started in 2019.
The official repo of NBC & SpatialNet for multichannel speech separation, denoising, and dereverberation
A desktop visualization GUI for the ODAS library
The BEST music separation model with help of A.I. ... to my ears ! 👂👂
Ultimate Vocal Remover CLI type for Google Colab
This GitHub repository explores the topics of privacy, anonymity and compartmentalization. These concepts are interrelated and essential for protecting one’s identity, data and online activities from unwanted surveillance, tracking and interference.
Poisson pseudo-likelihood regression with multiple levels of fixed effects
[NeurIPS 2025] Separate Anything in Audio with Zero Training
Ultimate Vocal Remover for Google Colab
DeepExtractV2 – lightning-fast, high-quality audio separator. Instantly isolate vocals, drums, bass, and more from any track. Ideal for creators, DJs, and audio pros.
Unsupervised blind source separation of mixed images and sounds with variational auto-encoders.
[🏆 IJCV 2025 & ACCV 2024 Best Paper Honorable Mention] Official pytorch implementation of the paper "High-Quality Visually-Guided Sound Separation from Diverse Categories"
A package for decomposing multi-channel EMG signals into individual motor unit activity.
Pack cuda environment for bytesep music separation and provide a simple gui.
SP-TFF code package aims to present a methodology for high-resolution polarization analysis and filtering of seismic signals in the TF-domain. The main developments in this research work are: (a) reformulation of the eigenvalue decomposition polarization analysis (EDPA) in TF-domain, (b) combining the SP-TFR to the formulation to obtain high-res…
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