A Multiple Sound Source Localization and Counting Method Based on the Kernel Density Estimator

Yuzhuo Fang, Xian Zang, Juan Yang, Hongcheng Zhou, Zhiyong Xu and Jelena Nikolić

Mathematical Problems in Engineering, 2022, vol. 2022, 1-11

Abstract: An unambiguous signal processing algorithm when using a wide intermicrophone distance is proposed in this paper for simultaneously locating and counting multiple active sound sources. Based on the kernel density estimator, a multistage structure in the time-frequency domain is used to suppress the influence of spatial aliasing, then the pooled angular spectrum is combined with a peak search method having an updated cut-off threshold and a source merging module. Complete source localization and counting is realized through the combination of these two steps. Simulation results show that the proposed method has a more robust performance than the classic counterpart, especially in adverse environments with spatial aliasing, reverberation, and interference between different sound sources.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:6783184

DOI: 10.1155/2022/6783184

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