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

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

*この研究の対応する著者

研究成果: Conference contribution

135 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルIndependent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings
出版社Springer Verlag
ページ552-559
ページ数8
ISBN(印刷版)9783540744931
DOI
出版ステータスPublished - 2007
外部発表はい
イベント7th International Conference on Independent Component Analysis (ICA) and Source Separation, ICA 2007 - London, United Kingdom
継続期間: 2007 9 92007 9 12

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4666 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference7th International Conference on Independent Component Analysis (ICA) and Source Separation, ICA 2007
国/地域United Kingdom
CityLondon
Period07/9/907/9/12

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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