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  • 标题:Real-time Sound Source Localization for a Mobile Robot Based on the Guided Spectral-Temporal Position Method
  • 本地全文:下载
  • 作者:Xiaofei Li ; Miao Shen ; Wenmin Wang
  • 期刊名称:International Journal of Advanced Robotic Systems
  • 印刷版ISSN:1729-8806
  • 电子版ISSN:1729-8814
  • 出版年度:2012
  • 卷号:9
  • DOI:10.5772/51307
  • 语种:English
  • 出版社:SAGE Publications
  • 摘要:Sound source localization based on a microphone array for mobile robots faces great challenges because of factors such as uncertainty of the robot’s movement, noise and reverberation, the requirements of a compact microphone array and so on. This paper studies a method for sound source localization in a dynamic environment using a cross-microphone array plane, which consists of four microphones on an intelligent mobile robot platform. Firstly, the method of spectral subtraction and campestral mean normalization is introduced to de-noise. Then GCC-PHAT-ργ and the guided spectral-temporal (ST) position method are proposed to suppress noise and reverberation based on the generalized cross-correlation method to estimate time delay. Finally, the sound source is positioned by adopting the geometric location method. This system is tested by a total of 2,016 sets of experiments. Even in an intensely noisy and reverberating environment, the guided ST position method achieves angle positioning accuracy of more than 95% with a less than 15 degrees localization error. Meanwhile, all the experimental data can be processed in real-time, within 0.4s.
  • 关键词:Sound source localization; Microphone array; GCC-PHAT-ργ; Guided ST position
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