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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.
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Submitted on : Wednesday, December 8, 2010 - 3:31:22 PM
Last modification on : Friday, November 18, 2022 - 3:41:27 AM
Long-term archiving on: : Thursday, March 10, 2011 - 11:21:15 AM


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  • HAL Id : inria-00544239, version 1


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. ⟨inria-00544239⟩



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