First stereo audio source separation evaluation campaign: data, algorithms and results

Abstract : This article provides an overview of the first stereo audio source separation evaluation campaign, organized by the authors. Fifteen underdetermined stereo source separation algorithms have been applied to various audio data, including instantaneous, convolutive and real mixtures of speech or music sources. The data and the algorithms are presented and the estimated source signals are compared to reference signals using several objective performance criteria.
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https://hal.inria.fr/inria-00544199
Contributor : Emmanuel Vincent <>
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  • HAL Id : inria-00544199, version 1

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Emmanuel Vincent, Hiroshi Sawada, Pau Bofill, Shoji Makino, Justinian Rosca. First stereo audio source separation evaluation campaign: data, algorithms and results. 7th Int. Conf. on Independent Component Analysis and Blind Source Separation (ICA), Sep 2007, London, United Kingdom. pp.552--559. ⟨inria-00544199⟩

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