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Underdetermined source separation with structured source priors

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text
 

Genre(s)

article
 

Forme(s)

document numérique
 

Cette ressource est disponible chez l'organisme suivant : Ircam - Centre Pompidou

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Titre

Underdetermined source separation with structured source priors
 

Nom(s)

Vincent, Emmanuel (auteur)
 
Rodet, Xavier (auteur)
 

Publication

Granada, Espana , 2004
 

Description

Sujet(s)

source   separation   stereo   ISA
 

Résumé

We consider the source extraction problem for stereo instantaneous musical mixtures with more than two sources. We prove that usual separation methods based only on spatial diversity have performance limitations when the sources overlap in the time-frequency plane. We propose a new separation scheme combining spatial diversity and structured source priors. We present possible priors based on nonlinear Independent Subspace Analysis (ISA) and Hidden Markov Models (HMM), whose parameters are learnt on solo musical excerpts. We show with an example that they actually improve the separation performance.
 

Note(s)

Contribution au colloque ou congrès : 5th Int. Symp. on ICA and BSS (ICA'04)
 

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Date de la notice

2010-02-25 01:00:00
 

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