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Indexed by:期刊论文

Date of Publication:2017-03-01

Journal:APPLIED ACOUSTICS

Included Journals:SCIE、EI

Volume:118

Page Number:50-57

ISSN No.:0003-682X

Key Words:Speaker tracking; Microphone array network; Kalman filter; TDOA

Abstract:In this paper, a distributed iterated extended Kalman filter (DIEKF) is proposed to estimate time-varying speaker's positions in microphone array networks. In the proposed method, the time difference of arrival (TDOA) of the speech signals received by each pair of microphones is estimated by the generalized cross correlation (GCC) method. Meanwhile, each node in the networks checks whether the TDOA is true or not and ensures that the outliers caused by room reverberations are removed. Then the distributed IEKF is used to perform speaker tracking. By performing several iterations, the proposed speaker tracking method can improve the tracking performance successfully. Especially, it can capture the speaker's moving trajectory faster when the initial target state is far from optimal value. Therefore, the proposed method can obtain a smoothed trajectory of the speaker's motion accurately and robustly in noisy and reverberant environments. Simulation results reveal the tracking performance of the proposed method. (C) 2016 Elsevier Ltd. All rights reserved.