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Indexed by:期刊论文

Date of Publication:2017-09-01

Journal:IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

Included Journals:Scopus、SCIE、EI

Volume:47

Issue:9

Page Number:2433-2443

ISSN No.:2168-2216

Key Words:Average consensus filter; distributed microphone networks; distributed particle filter (DPF); multiple-hypothesis model; speaker tracking

Abstract:A speaker tracking method based on a distributed particle filter (DPF) for distributed microphone networks is proposed in this paper. First, the generalized cross-correlation (GCC) function is estimated at each node. To cope with the spurious effects due to the noise or reverberation, multiple delays related to the largest local peaks of the GCC constitute the local observation. Next, based on an optimal fusion rule, a modified DPF is presented, and a modified multiple-hypothesis model is also developed as its likelihood function by incorporating the information of the GCC. Finally, the modified DPF is used to track a moving speaker with a distributed microphone network. The proposed method requires only local communication among neighboring nodes, and is robust against nodes failure. Simulation and real-world experimental results demonstrate the validity of the proposed method.