Js-Mim

mss_pytorch

Singing Voice Separation via Recurrent Inference and Skip-Filtering Connections - PyTorch Implementation. Demo:

rl_singing_voice

Unsupervised Representation Learning for Singing Voice Separation

aes_wimp

Support material and source code for the system described in : "New Sonorities for Jazz Recordings: Separation and Mixing using Deep Neural Networks".

mlsp2017_svsep_skipfilt

Support material and source code for the model described in : "A Recurrent Encoder-Decoder Approach With Skip-Filtering Connections For Monaural Singing Voice Separation"

ASP

Audio Signal Processing Python Tools

tehiru

Spatial Audio Enhancement for single channel audio data

wagner_vad

nca_mss

Python-Wrapper-for-World-Vocoder

A Python wrapper for the high-quality vocoder "World"

pytorch-examples

Simple examples to introduce PyTorch

SRMRpy

Python implementation of the SRMR toolbox

sigsep-mus-2018

SiSEC MUS 2018 Submission System

dnd-sed

Sound event detection with depthwise separable and dilated convolutions.

federated-learning

mad-twinnet

The code for the MaD TwinNet. Demo page:

OST

Optimal Spectral Transportation : audio musical unmixing using optimal transport

phase-hpss

Code for harmonic/percussive source separation with MadTwinNet and phase recovery

sigsep-mus-2018-analysis

Analysis and Visualization for SiSEC 2018

sp-demo

spleeter

Deezer source separation library including pretrained models.