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Convention Paper

Combining the Signals of Sound Sources Separated from Different Nodes after a Pairing Process Using an STFT-Based GCC-PHAT

Authors: Clares-Crespo, César; García-Gómez, Joaquín; Fernández-Toloba, Alfredo; Gil-Pita, Roberto; Rosa-Zurera, Manuel; Utrilla-Manso, Manuel

AES Convention 145 · Paper 10071 · October 2018

Abstract

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.

Details

Published in
AES Convention 145
AES Convention
145
Paper number
10071
Publication date
October 6, 2018
Session subject
Acoustics and Signal Processing
Affiliation
University of Alcalá, Alcalá de Henares, Madrid, Spain (See document for exact affiliation information.)
Type
Convention Paper