Weighted Subspace Fitting Sound Source Localization Method Based on Particle Filtering

Jin  Nai-Gao; Yin Fu-Liang; Chen  Zhe

doi:10.3724/SP.J.1146.2007.00257

Volume 30 Issue 9

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(9): 2134-2137

Jin Nai-Gao, Yin Fu-Liang, Chen Zhe. Weighted Subspace Fitting Sound Source Localization Method Based on Particle Filtering[J]. Journal of Electronics & Information Technology, 2008, 30(9): 2134-2137. doi: 10.3724/SP.J.1146.2007.00257

Citation:

Jin Nai-Gao, Yin Fu-Liang, Chen Zhe. Weighted Subspace Fitting Sound Source Localization Method Based on Particle Filtering[J]. Journal of Electronics & Information Technology, 2008, 30(9): 2134-2137. doi: 10.3724/SP.J.1146.2007.00257

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Weighted Subspace Fitting Sound Source Localization Method Based on Particle Filtering

doi: 10.3724/SP.J.1146.2007.00257

Received Date: 2007-02-09
Rev Recd Date: 2008-01-10
Publish Date: 2008-09-19

Abstract

Abstract

Sound source localization using microphone array provides an effective solution to speaker tracking problem under adverse environments. A new method based on weighted subspace fitting is presented for sound source localization and tracking within the framework of particle filtering. The cost function of weighted subspace fitting algorithm is extended to the wideband case, and the location of speaker is estimated using dynamical model of speaker motion and the likelihood function model based on the wideband cost function. The results of both simulations with synthetic data and experiments with real-world data show that the proposed method has good performance.
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References

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