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

Author:

Fang Yuzhuo1ORCID,Zang Xian1,Yang Juan1,Zhou Hongcheng1,Xu Zhiyong2

Affiliation:

1. School of Electronics and Information Engineering, Jinling Institute of Technology, Nanjing, Jiangsu, China

2. School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China

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.

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Reference33 articles.

1. Passive acoustic source localization for video camera steering;Y. Huang

2. A Speech Event Detection and Localization Task for Multiroom environments;A. Brutti

3. Blind Separation of Speech Mixtures via Time-Frequency Masking

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