Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
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Section: New Software and Platforms



Keywords: Source Separation - Audio

Scientific Description: Implements state of the art audio/music source separation with DNNs.

This software is intended to serve as a reference in the domain. It has notably been the object of several scientific communications: 1. An Overview of Lead and Accompaniment Separation in Music 2. Music separation with DNNs: making it work (ISMIR 2018 Tutorial)

Functional Description: This software implements audio source separation with deep learning, using pytorch and tensorflow frameworks.

It comprises the code for both training and testing the separation networks, in a flexible manner.

Pre and post-processing around the actual deep neural nets include sophisticated specific multichannel filtering operations.