基于加权子空间拟合的声源定位与跟踪方法

金乃高; 殷福亮; 陈喆

doi:10.3724/SP.J.1146.2007.00257

基于加权子空间拟合的声源定位与跟踪方法

doi: 10.3724/SP.J.1146.2007.00257

基金项目:

国家自然科学基金(60772161，60372082)资助课题

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- 被引次数: 0
出版历程
- 收稿日期: 2007-02-09
- 修回日期: 2008-01-10
- 刊出日期: 2008-09-19

Weighted Subspace Fitting Sound Source Localization Method Based on Particle Filtering

摘要

摘要: 麦克风阵列声源定位可为复杂环境下的说话人空间位置估计问题提供一种有效的解决方案。该文基于粒子滤波框架，提出了一种加权子空间拟合声源定位与跟踪方法。该方法将窄带子空间拟合算法的代价函数推广至宽带情形，构建了一种适用于宽带语音信号的似然函数，并结合说话人的运动模型估计声源的位置。计算机仿真与实测结果验证了该方法的有效性。
- 粒子滤波 /
- 加权子空间拟合 /
- 声源定位 /
- 麦克风阵列
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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参考文献(1)

[1] Verma R C, Schmid C, and Mikolajczyk K. Face detectionand tracking in a video by propagating detectionprobabilities[J].IEEE Trans. on Pattern Analysis andMachine Intelligence.2003, 25(10):1215-1228 [2] Mungamuru B and Aarabi P. Enhanced sound localization [J].IEEE Trans. on Systems, Man and Cybernetics.2004, 34(3):1526-1540 [3] Omologo M and Svaizer P. Use of the crosspower-spectrumphase in acoustic event location [J].IEEE Trans. on Speechand Audio Processing.1997, 5(3):288-292 [4] DiBiase J. A high-accuracy, low-latency technique for talkerlocalization in reverberant environments [D]. BrownUniversity, Providence RI, USA, 2000. [5] 居太亮, 彭启琮, 邵怀宗等. 基于任意麦克风阵列的声源二维DOA 估计算法研究[J]. 通信学报, 2005, 26(8): 129-133.Ju Tai-liang, Peng Qi-cong, and Shao Huai-zong, et al..Speech source 2D DOA estimation algorithm based onrandom microphone array. Journal on Communications, 2005,26(8): 129-133. [6] Chen J C, Yao K, and Hudson R E. Acoustic sourcelocalization and beamforming: theory and practice [J].EURASIP Journal on Applied Signal Processing.2003,2003(4):359-370 [7] Ward D B, Williamson R C, and Lehmann E A. Particlefiltering algorithms for tracking an acoustic source in areverberant environment [J].IEEE Trans. on Speech andAudio Processing.2003, 11(6):826-836 [8] Di Claudio E and Parisi R. Multi-Source LocalizationStrategies. Microphone Arrays: Signal Processing Techniquesand Applications [M]. M. Brandstein and D. Ward, Eds.,Boston, London: Springer, 2001: 181-201. [9] Arulampalam M, Maskell S, and Gordon N, et al.. A tutorialon particle filters for on-line nonlinear/non-GaussianBayesian tracking [J].IEEE Trans. on Signal Processing.2002,50(2):174-188

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