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

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

  • Affiliations:
  • METISS Group, IRISA-INRIA, Rennes Cedex, France;Signal Processing Research Group, NTT Communication Science Labs, Kyoto, Japan;Departament d'Arquitectura de Computadors, Universitat Politècnica de Catalunya, Barcelona, Spain;Signal Processing Research Group, NTT Communication Science Labs, Kyoto, Japan;Siemens Corporate Research, Princeton, NJ

  • Venue:
  • ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
  • Year:
  • 2007

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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.