Js-Mim

aes_wimp

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

ASP

Audio Signal Processing Python Tools

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"

mss_pytorch

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

nca_mss

Python-Wrapper-for-World-Vocoder

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

rl_singing_voice

Unsupervised Representation Learning for Singing Voice Separation

sigsep-mus-2018

SiSEC MUS 2018 Submission System

tehiru

Spatial Audio Enhancement for single channel audio data

wagner_vad

Js-Mim/mss_pytorch

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

Js-Mim/rl_singing_voice

Unsupervised Representation Learning for Singing Voice Separation

Js-Mim/aes_wimp

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

Js-Mim/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"

Js-Mim/ASP

Audio Signal Processing Python Tools

Js-Mim/tehiru

Spatial Audio Enhancement for single channel audio data

Js-Mim/wagner_vad

Js-Mim/nca_mss

Js-Mim/Python-Wrapper-for-World-Vocoder

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

Js-Mim/pytorch-examples

Simple examples to introduce PyTorch

Js-Mim/SRMRpy

Python implementation of the SRMR toolbox

Js-Mim/sigsep-mus-2018

SiSEC MUS 2018 Submission System

Js-Mim/dnd-sed

Sound event detection with depthwise separable and dilated convolutions.

Js-Mim/federated-learning

Js-Mim/mad-twinnet

The code for the MaD TwinNet. Demo page:

Js-Mim/OST

Optimal Spectral Transportation : audio musical unmixing using optimal transport

Js-Mim/phase-hpss

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

Js-Mim/sigsep-mus-2018-analysis

Analysis and Visualization for SiSEC 2018

Js-Mim/sp-demo

Js-Mim/spleeter

Deezer source separation library including pretrained models.