C. Llerena-Aguilar, G. Ramos-Auñón, F. J. Llerena-Aguilar, H. A. Sánchez-Hevia, and M. Rosa-Zurera, “Improving Speech Mixture Synchronization in Blind Source Separation Problems,” in Proc. AES Convention 138, May 2015, Paper 9298. [Online]. Available: https://aes.org/publications/elibrary-page/?id=17722
Llerena-Aguilar C, Ramos-Auñón G, Llerena-Aguilar FJ, Sánchez-Hevia HA, Rosa-Zurera M. Improving Speech Mixture Synchronization in Blind Source Separation Problems. In: AES Convention 138. Audio Engineering Society; 2015. Paper 9298. Available from: https://aes.org/publications/elibrary-page/?id=17722
@inproceedings{LlerenaAguilar2015_17722,
author = {Llerena-Aguilar, Cosme and Ramos-Auñón, Guillermo and Llerena-Aguilar, Francisco J. and Sánchez-Hevia, Héctor A. and Rosa-Zurera, Manuel},
title = {{Improving Speech Mixture Synchronization in Blind Source Separation Problems}},
booktitle = {AES Convention 138},
note = {Paper 9298},
year = {2015},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=17722}
}
TY - CPAPER
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
T2 - AES Convention 138
M1 - Paper 9298
PY - 2015
DA - 2015/05/06
UR - https://aes.org/publications/elibrary-page/?id=17722
PB - Audio Engineering Society
LA - en
AB - 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.
ER -