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Convention Paper

Introducing Synchronization of Speech Mixtures in Blind Sparse Separation Problems

Authors: Llerena, Cosme; Álvarez, Lorena; Gil-Pita, Roberto; Rosa-Zurera, Manuel

AES Convention 134 · Paper 8834 · May 2013

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.

Details

Published in
AES Convention 134
AES Convention
134
Paper number
8834
Publication date
May 6, 2013
Session subject
Speech Processing
Affiliation
University of Alcalá, Alcala de Henares (Madrid), Spain (See document for exact affiliation information.)
Type
Convention Paper