C. Llerena, L. Álvarez, R. Gil-Pita, and M. Rosa-Zurera, “Introducing Synchronization of Speech Mixtures in Blind Sparse Separation Problems,” in Proc. AES Convention 134, May 2013, Paper 8834. [Online]. Available: https://aes.org/publications/elibrary-page/?id=16735
Llerena C, Álvarez L, Gil-Pita R, Rosa-Zurera M. Introducing Synchronization of Speech Mixtures in Blind Sparse Separation Problems. In: AES Convention 134. Audio Engineering Society; 2013. Paper 8834. Available from: https://aes.org/publications/elibrary-page/?id=16735
@inproceedings{Llerena2013_16735,
author = {Llerena, Cosme and Álvarez, Lorena and Gil-Pita, Roberto and Rosa-Zurera, Manuel},
title = {{Introducing Synchronization of Speech Mixtures in Blind Sparse Separation Problems}},
booktitle = {AES Convention 134},
note = {Paper 8834},
year = {2013},
month = may,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=16735}
}
TY - CPAPER
TI - Introducing Synchronization of Speech Mixtures in Blind Sparse Separation Problems
AU - Llerena, Cosme
AU - Álvarez, Lorena
AU - Gil-Pita, Roberto
AU - Rosa-Zurera, Manuel
T2 - AES Convention 134
M1 - Paper 8834
PY - 2013
DA - 2013/05/06
UR - https://aes.org/publications/elibrary-page/?id=16735
PB - Audio Engineering Society
LA - en
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.
ER -