This paper presents a Blind Source Separation (BSS) algorithm proposed to work into a multi-node network. It is intended to be used indoors as an improvement to overcome some limitations of classical BSS algorithms. The goal is to improve the quality of the speech sources combining the signals of the same source separated from the different nodes located in the room. The algorithm matches the signals belonging to the same source through cross-correlations. It provides some stability to the quality of the separated sources since it takes advantage of the fact that the sources are likely to be correctly separated in some nodes.

Authors: Clares-Crespo, César; García-Gómez, Joaquín; Fernández-Toloba, Alfredo; Gil-Pita, Roberto; Rosa-Zurera, Manuel; Utrilla-Manso, Manuel
Affiliation: University of Alcalá, Alcalá de Henares, Madrid, Spain
AES Convention: 145 (October 2018) Paper Number: 10071
Publication Date: October 7, 2018 Import into BibTeX
Subject: Acoustics and Signal Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=19797

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