Journal of Northeastern University Natural Science ›› 2018, Vol. 39 ›› Issue (8): 1075-1079.DOI: 10.12068/j.issn.1005-3026.2018.08.003

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Sound Source Localization Technology Based on Generalized Cross-Power Spectrum Phase

ZHANG Chuan-yi, LU Xiao   

  1. School of Information Science & Engineering, Northeastern University, Shenyang 110819, China.
  • Received:2017-03-31 Revised:2017-03-31 Online:2018-08-15 Published:2018-09-12
  • Contact: LU Xiao
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Abstract: The paper mainly researches how to improve sound source localization effects in indoor environments with complex noise and serious reverberation. Firstly, the signal model of the indoor microphone array is analyzed and a suitable array topology is established. Secondly, a lot of parameters of the filter in the cepstral domain are determined optimally by simulation. Then, the generalized cross-power spectrum phase is proposed to make the peak value more obvious. In addition, many weight functions are simulated and compared in Matlab to further improve the accuracy of sound source localization. Finally, the proposed algorithm is verified. The result shows that the localization success rate is up to 80% when the angle error and distance error of the improved algorithm are ±10°and ±15cm, respectively.

Key words: sound source localization, microphone array, cepstrum, generalized cross-power spectrum phase

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