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An EM Algorithm for Localizing Multiple Sound: Sources in Reverberant Environments

Michael I. Mandel; Daniel P. W. Ellis; Tony Jebara

Title:
An EM Algorithm for Localizing Multiple Sound: Sources in Reverberant Environments
Author(s):
Mandel, Michael I.
Ellis, Daniel P. W.
Jebara, Tony
Date:
Type:
Articles
Department:
Electrical Engineering
Permanent URL:
Book/Journal Title:
Advances in neural information processing systems 19 proceedings of the 2006 conference
Book Author:
Schölkopf, Bernhard
Publisher:
MIT Press
Publisher Location:
Cambridge, Mass.
Abstract:
We present a method for localizing and separating sound sources in stereo recordings that is robust to reverberation and does not make any assumptions about the source statistics. The method consists of a probabilistic model of binaural multisource recordings and an expectation maximization algorithm for finding the maximum likelihood parameters of that model. These parameters include distributions over delays and assignments of time-frequency regions to sources. We evaluate this method against two comparable algorithms on simulations of simultaneous speech from two or three sources. Our method outperforms the others in anechoic conditions and performs as well as the better of the two in the presence of reverberation.
Subject(s):
Electrical engineering
Applied mathematics
Item views:
224
Metadata:
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