Introducing Synchronization of Speech Mixtures in Blind Sparse Separation Problems
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C. Llerena, L. Álvarez, R. Gil-Pita, and M. Rosa-Zurera, "Introducing Synchronization of Speech Mixtures in Blind Sparse Separation Problems," Paper 8834, (2013 May.). doi:
C. Llerena, L. Álvarez, R. Gil-Pita, and M. Rosa-Zurera, "Introducing Synchronization of Speech Mixtures in Blind Sparse Separation Problems," Paper 8834, (2013 May.). doi:
Abstract: This paper explores the feasibility of using synchronization of speech mixtures prior to blind sparse source separation methods in order to improve their results. Broadly, methods that assume sparse sources use level and phase differences between mixtures as their features, and they separate signals from them. If each mixture is considerably delayed with respect to the rest of them, the information extracted from these differences can be wrong. With this idea in mind, this paper will focus on using Time Delay Estimation algorithms in order to synchronize the mixtures and observing the improvement that it provokes in a Blind Sparse Source Separation algorithm. The results obtained show the feasibility of using synchronization of the speech mixtures.
@article{llerena2013introducing,
author={llerena, cosme and álvarez, lorena and gil-pita, roberto and rosa-zurera, manuel},
journal={journal of the audio engineering society},
title={introducing synchronization of speech mixtures in blind sparse separation problems},
year={2013},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{llerena2013introducing,
author={llerena, cosme and álvarez, lorena and gil-pita, roberto and rosa-zurera, manuel},
journal={journal of the audio engineering society},
title={introducing synchronization of speech mixtures in blind sparse separation problems},
year={2013},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={this paper explores the feasibility of using synchronization of speech mixtures prior to blind sparse source separation methods in order to improve their results. broadly, methods that assume sparse sources use level and phase differences between mixtures as their features, and they separate signals from them. if each mixture is considerably delayed with respect to the rest of them, the information extracted from these differences can be wrong. with this idea in mind, this paper will focus on using time delay estimation algorithms in order to synchronize the mixtures and observing the improvement that it provokes in a blind sparse source separation algorithm. the results obtained show the feasibility of using synchronization of the speech mixtures.},}
TY - paper
TI - Introducing Synchronization of Speech Mixtures in Blind Sparse Separation Problems
SP -
EP -
AU - Llerena, Cosme
AU - Álvarez, Lorena
AU - Gil-Pita, Roberto
AU - Rosa-Zurera, Manuel
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2013
TY - paper
TI - Introducing Synchronization of Speech Mixtures in Blind Sparse Separation Problems
SP -
EP -
AU - Llerena, Cosme
AU - Álvarez, Lorena
AU - Gil-Pita, Roberto
AU - Rosa-Zurera, Manuel
PY - 2013
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2013
AB - This paper explores the feasibility of using synchronization of speech mixtures prior to blind sparse source separation methods in order to improve their results. Broadly, methods that assume sparse sources use level and phase differences between mixtures as their features, and they separate signals from them. If each mixture is considerably delayed with respect to the rest of them, the information extracted from these differences can be wrong. With this idea in mind, this paper will focus on using Time Delay Estimation algorithms in order to synchronize the mixtures and observing the improvement that it provokes in a Blind Sparse Source Separation algorithm. The results obtained show the feasibility of using synchronization of the speech mixtures.
This paper explores the feasibility of using synchronization of speech mixtures prior to blind sparse source separation methods in order to improve their results. Broadly, methods that assume sparse sources use level and phase differences between mixtures as their features, and they separate signals from them. If each mixture is considerably delayed with respect to the rest of them, the information extracted from these differences can be wrong. With this idea in mind, this paper will focus on using Time Delay Estimation algorithms in order to synchronize the mixtures and observing the improvement that it provokes in a Blind Sparse Source Separation algorithm. The results obtained show the feasibility of using synchronization of the speech mixtures.
Authors:
Llerena, Cosme; Álvarez, Lorena; Gil-Pita, Roberto; Rosa-Zurera, Manuel
Affiliation:
University of Alcalá, Alcala de Henares (Madrid), Spain
AES Convention:
134 (May 2013)
Paper Number:
8834
Publication Date:
May 4, 2013Import into BibTeX
Subject:
Speech Processing
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=16735