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ICA
2007
Springer

First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results

10 years 3 months ago
First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results
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.
Emmanuel Vincent, Hiroshi Sawada, Pau Bofill, Shoj
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where ICA
Authors Emmanuel Vincent, Hiroshi Sawada, Pau Bofill, Shoji Makino, Justinian P. Rosca
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