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Convention Paper

Improving Speech Mixture Synchronization in Blind Source Separation Problems

Authors: Llerena-Aguilar, Cosme; Ramos-Auñón, Guillermo; Llerena-Aguilar, Francisco J.; Sánchez-Hevia, Héctor A.; Rosa-Zurera, Manuel

AES Convention 138 · Paper 9298 · May 2015

Abstract

The use of wireless acoustic sensor networks carry many advantages in the speech separation framework. Since nodes are separated by greater distances than a few centimeters, they can cover rooms completely, although these new distances involve certain problems to be solved. For instance, important time differences of arrival between the speech mixtures captured at the different microphones can appear, affecting the performance of classical sound separation algorithms. One solution consists in synchronizing the speech mixtures captured at the microphones. Following with this idea, we put forward in this paper a new time delay estimation method that outperforms classical methods in order to synchronize speech mixtures. The results obtained show the feasibility of using our proposal aiming at synchronizing speech mixtures.

Details

Published in
AES Convention 138
AES Convention
138
Paper number
9298
Publication date
May 6, 2015
Session subject
Sound Localization and Separation
Affiliation
University of Alcala, Alcalá de Henares, Madrid, Spain (See document for exact affiliation information.)
Type
Convention Paper