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C. Llerena-Aguilar, G. Ramos-Auñón, FR. J.. Llerena-Aguilar, HÉ. A.. Sánchez-Hevia, and M. Rosa-Zurera, "Improving Speech Mixture Synchronization in Blind Source Separation Problems," Paper 9298, (2015 May.). doi: C. Llerena-Aguilar, G. Ramos-Auñón, FR. J.. Llerena-Aguilar, HÉ. A.. Sánchez-Hevia, and M. Rosa-Zurera, "Improving Speech Mixture Synchronization in Blind Source Separation Problems," Paper 9298, (2015 May.). doi:
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.

@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},
volume={},
number={},
pages={},
doi={},
month={may},} @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},
volume={},
number={},
pages={},
doi={},
month={may},
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.},}

TY - paper
TI - Improving Speech Mixture Synchronization in Blind Source Separation Problems
SP - EP -
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
IS -
VO -
VL -
Y1 - May 2015 TY - paper
TI - Improving Speech Mixture Synchronization in Blind Source Separation Problems
SP - EP -
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
IS -
VO -
VL -
Y1 - May 2015
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.