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Spatial Localization of Concurrent Multiple Sound Sources Using Phase Candidate Histogram

Huakang Li, Jie Huang, Minyi Guo, and Qunfei Zhao

Abstract:
Mobile robots communicating with people would benefit from being able to detect sound sources to help localize interesting events in real-life settings. We propose using a spherical robot with four microphones to determine the spatial locations of multiple sound sources in ordinary rooms. The arrival temporal disparities from phase difference histograms are used to calculate the time differences. A precedence effect model suppresses the influence of echoes in reverberant environments. To integrate spatial cues of different microphones, we map the correlation between different microphone pairs on a 3D map corresponding to the azimuth and elevation of sound source direction. Results of experiments indicate that our proposed system provides sound source distribution very clearly and precisely, even concurrently in reverberant environments with the Echo Avoidance (EA) model.

Keywords: acoustic signal processing, direction estimation, time-delay estimation, candidate histogram, precedence effect

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