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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.
Author (s): Llerena-Aguilar, Cosme; Ramos-Auñón, Guillermo; Llerena-Aguilar, Francisco J.; Sánchez-Hevia, Héctor A.; Rosa-Zurera, Manuel
Affiliation:
University of Alcala, Alcalá de Henares, Madrid, Spain
(See document for exact affiliation information.)
AES Convention: 138
Paper Number:9298
Publication Date:
2015-05-06
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Session subject:
Sound Localization and Separation
Permalink: https://aes2.org/publications/elibrary-page/?id=17722
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Llerena-Aguilar, Cosme; Ramos-Auñón, Guillermo; Llerena-Aguilar, Francisco J.; Sánchez-Hevia, Héctor A.; Rosa-Zurera, Manuel; 2015; Improving Speech Mixture Synchronization in Blind Source Separation Problems [PDF]; University of Alcala, Alcalá de Henares, Madrid, Spain; Paper 9298; Available from: https://aes2.org/publications/elibrary-page/?id=17722
Llerena-Aguilar, Cosme; Ramos-Auñón, Guillermo; Llerena-Aguilar, Francisco J.; Sánchez-Hevia, Héctor A.; Rosa-Zurera, Manuel; Improving Speech Mixture Synchronization in Blind Source Separation Problems [PDF]; University of Alcala, Alcalá de Henares, Madrid, Spain; Paper 9298; 2015 Available: https://aes2.org/publications/elibrary-page/?id=17722
@article{llerena-aguilar2015improving,
author={llerena-aguilar cosme and ramos-auñón guillermo and llerena-aguilar francisco j. and sánchez-hevia héctor a. and rosa-zurera manuel},
journal={journal of the audio engineering society},
title={improving speech mixture synchronization in blind source separation problems},
year={2015},
number={9298},
month={may},}
TY – paper
TI – Improving Speech Mixture Synchronization in Blind Source Separation Problems
AU – Llerena-Aguilar, Cosme
AU – Ramos-Auñón, Guillermo
AU – Llerena-Aguilar, Francisco J.
AU – Sánchez-Hevia, Héctor A.
AU – Rosa-Zurera, Manuel
PY – 2015
JO – Journal of the Audio Engineering Society
VL – 9298
Y1 – May 2015