Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
755207 | Applied Acoustics | 2008 | 6 Pages |
Abstract
In this paper a novel method for tracking an active speaker in a noisy and reverberant environment by means of a spatially distributed microphone array is presented. Firstly, a sound source localization algorithm based on time delays of arrival (TDOA) in microphone pairs provides observed position estimates. Then these remarkably noisy estimates are filtered by a multiple model Kalman filter (MMKF) in order to obtain a smoothed trajectory of the speaker’s movement. Compared with the traditional Kalman filter (KF), simulated results prove the MMKF is more robust and effective in noisy environments.
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Authors
Zhiwei Liang, Xudong Ma, Xianzhong Dai,