Sound Source Localization Based on Microphone Uniform Linear Array

Abstract:

In order to locate the sound source based on the microphone uniform linear array and reduce the impact of noise and reflection, improved multiple signal classification algorithm and a kind of weighted average filters be used in this paper. According to the microphone array speech processing characteristics, we improved the traditional multiple signal classification algorithm and designed a kind of weighted average filters. Then, we made the computer simulation experiments. The experimental results show that the location of the sound source is the peak with the highest power in the spatial spectrum. Besides, the frequency domain diagram is more smoothly and the power of the noise and reflection is effectively reduced except sound source through the weighted average processing. Therefore, improved multiple signal classification algorithm can achieve sound source localization based on the microphone uniform linear array. And the impact of the noise and reflection is effectively reduced by processing of the weighted average filters.

• Periodical: Advanced Materials Research (Volume 748)
• Pages: 634-639
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.748.634
• Online since: August 2013
• Authors: Jian Rong Wang, Ju Zhang, Song Gun Hyon, Jian Guo Wei
• Keywords: Microphone Uniform Linear Array, Multiple Signal Classification Algorithm, Sound Source Localization, Weighted Average Processing

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