Members
Overall Objectives
Research Program
Application Domains
Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
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Section: Software and Platforms

FASST: a Flexible Audio Source Separation Toolbox

Participants : Nancy Bertin, Frédéric Bimbot.

Emmanuel Vincent [contact person]

FASST is a Flexible Audio Source Separation Toolbox, designed to speed up the conception and automate the implementation of new model-based audio source separation algorithms.

FASST is currently being developed jointly with the PAROLE team in Nancy and the TEXMEX team in Rennes through an Inria funded ADT (Action de Développement Technologique). The first implementation is in Matlab. http://bass-db.gforge.inria.fr/fasst/