DocumentCode :
432018
Title :
Localizing an unknown time-varying number of speakers: a Bayesian random finite set approach
Author :
Vo, Ba-Ngu ; Ma, Wing-Kin ; Singh, Sumeetpal
Author_Institution :
Dept. Electr. & Electron. Eng., Univ. of Melbourne, Vic., Australia
Volume :
4
fYear :
2005
fDate :
18-23 March 2005
Abstract :
Using time-difference-of-arrival (TDOA) measurements to perform speaker localization has received much interest recently. Motivated by the significant progress in TDOA single speaker localization, this paper presents a TDOA multi-speaker location tracking algorithm based on Bayesian particle filtering. The development is based on the random finite set framework, which provides an effective treatment to the problem of an unknown time-varying number of active speakers. The proposed method can be viewed as a generalization of the existing single-speaker particle filter. Using a simulated reverberant room, we demonstrate the tracking capability of the proposed particle filter.
Keywords :
Bayes methods; array signal processing; audio signal processing; position measurement; reverberation; target tracking; time-of-arrival estimation; Bayesian particle filtering; Bayesian random finite set method; TDOA; microphone array processing; multiple speaker tracking; random finite set framework; reverberant room; speaker localization; time-difference-of-arrival measurement; unknown time-varying speaker number; Array signal processing; Australia; Bayesian methods; Filtering; Microphones; Particle filters; Particle tracking; Performance evaluation; Reverberation; Time difference of arrival;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1416198
Filename :
1416198
Link To Document :
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