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

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.

DOI: 10.1007/978-3-540-74494-8_69

Extracted Key Phrases

4 Figures and Tables

0102020072008200920102011201220132014201520162017
Citations per Year

142 Citations

Semantic Scholar estimates that this publication has 142 citations based on the available data.

See our FAQ for additional information.

Cite this paper

@inproceedings{Vincent2007FirstSA, title={First Stereo Audio Source Separation Evaluation Campaign: Data, Algorithms and Results}, author={Emmanuel Vincent and Hiroshi Sawada and Pau Bofill and Shoji Makino and Justinian P. Rosca}, booktitle={ICA}, year={2007} }