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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

126 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 languageEnglish
Title of host publicationIndependent Component Analysis and Signal Separation - 7th International Conference, ICA 2007, Proceedings
PublisherSpringer Verlag
Pages552-559
Number of pages8
ISBN (Print)9783540744931
DOIs
Publication statusPublished - 2007
Externally publishedYes
Event7th International Conference on Independent Component Analysis (ICA) and Source Separation, ICA 2007 - London, United Kingdom
Duration: 2007 Sep 92007 Sep 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4666 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

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

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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