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

Emmanuel Vincent; Hiroshi Sawada; Pau Bofill; Shoji Makino; Justinian P. Rosca

doi:10.1007/978-3-540-74494-8_69

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

Emmanuel Vincent^*, Hiroshi Sawada, Pau Bofill, Shoji Makino, Justinian P. Rosca

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

156 Citations (Scopus)

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.

Original language	English
Title of host publication	Independent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings
Publisher	Springer Verlag
Pages	552-559
Number of pages	8
ISBN (Print)	9783540744931
DOIs	https://doi.org/10.1007/978-3-540-74494-8_69
Publication status	Published - 2007
Externally published	Yes
Event	7th International Conference on Independent Component Analysis (ICA) and Source Separation, ICA 2007 - London, United Kingdom Duration: 2007 Sept 9 → 2007 Sept 12

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4666 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Independent Component Analysis (ICA) and Source Separation, ICA 2007
Country/Territory	United Kingdom
City	London
Period	07/9/9 → 07/9/12

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-540-74494-8_69

Cite this

Vincent, E., Sawada, H., Bofill, P., Makino, S., & Rosca, J. P. (2007). First stereo audio source separation evaluation campaign: Data, algorithms and results. In Independent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings (pp. 552-559). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4666 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-540-74494-8_69

First stereo audio source separation evaluation campaign: Data, algorithms and results. / Vincent, Emmanuel; Sawada, Hiroshi; Bofill, Pau et al.
Independent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings. Springer Verlag, 2007. p. 552-559 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4666 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Vincent, E, Sawada, H, Bofill, P, Makino, S & Rosca, JP 2007, First stereo audio source separation evaluation campaign: Data, algorithms and results. in Independent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4666 LNCS, Springer Verlag, pp. 552-559, 7th International Conference on Independent Component Analysis (ICA) and Source Separation, ICA 2007, London, United Kingdom, 07/9/9. https://doi.org/10.1007/978-3-540-74494-8_69

Vincent E, Sawada H, Bofill P, Makino S, Rosca JP. First stereo audio source separation evaluation campaign: Data, algorithms and results. In Independent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings. Springer Verlag. 2007. p. 552-559. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-74494-8_69

Vincent, Emmanuel ; Sawada, Hiroshi ; Bofill, Pau et al. / First stereo audio source separation evaluation campaign : Data, algorithms and results. Independent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings. Springer Verlag, 2007. pp. 552-559 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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

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