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Particle Filtering Approach to Localization and Tracking of a Moving Acoustic Source in a Reverberant Room

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6 Author(s)
Chen, C.E. ; Dept. of Electr. Eng., Los Angeles California Univ., CA ; Wang, H. ; Ali, A. ; Lorenzelli, F.
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We propose a novel algorithm employing particle filters for acoustic source tracking in a reverberant environment. By incorporating the likelihood function computed through approximate maximum-likelihood (AML) method, the proposed algorithm is applicable to wideband sources and can be implemented for multiple sources tracking. Both computer simulation and experimental results show the effectiveness of the proposed algorithm

Published in:

Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on  (Volume:4 )

Date of Conference:

14-19 May 2006