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.

• Type: Conference
• Year: 2007
• Where: ICA
• Authors: Emmanuel Vincent, Hiroshi Sawada, Pau Bofill, Shoji Makino, Justinian P. Rosca
• Keywords: ICA 2007, Signal Processing, Source Separation, Stereo Source Separation, first Stereo Audio