A tentative typology of audio source separation tasks

Abstract : We propose a preliminary step towards the construction of a global evaluation framework for Blind Audio Source Separation (BASS) algorithms. BASS covers many potential applications that involve a more restricted number of tasks. An algorithm may perform well on some tasks and poorly on others. Various factors affect the difficulty of each task and the criteria that should be used to assess the performance of algorithms that try to address it. Thus a typology of BASS tasks would greatly help the building of an evaluation framework. We describe some typical BASS applications and propose some qualitative criteria to evaluate separation in each case. We then list some of the tasks to be accomplished and present a possible classification scheme.
Type de document :
Communication dans un congrès
4th Int. Symp. on Independent Component Analysis and Blind Signal Separation (ICA), Apr 2003, Nara, Japan. pp.715--720, 2003
Liste complète des métadonnées

Littérature citée [30 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00544239
Contributeur : Emmanuel Vincent <>
Soumis le : mercredi 8 décembre 2010 - 15:31:22
Dernière modification le : mardi 19 juin 2018 - 16:50:02
Document(s) archivé(s) le : jeudi 10 mars 2011 - 11:21:15

Fichier

vincent_ICA03.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

  • HAL Id : inria-00544239, version 1

Citation

Emmanuel Vincent, Cédric Févotte, Rémi Gribonval, Laurent Benaroya, Xavier Rodet, et al.. A tentative typology of audio source separation tasks. 4th Int. Symp. on Independent Component Analysis and Blind Signal Separation (ICA), Apr 2003, Nara, Japan. pp.715--720, 2003. 〈inria-00544239〉

Partager

Métriques

Consultations de la notice

786

Téléchargements de fichiers

382