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

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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. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Vincent, E., Sawada, H., Bofill, P., Makino, S., & Rosca, J. P. (2007). First stereo audio source separation evaluation campaign: Data, algorithms and results. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4666 LNCS, pp. 552–559). Springer Verlag. https://doi.org/10.1007/978-3-540-74494-8_69

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