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Elliptically Contoured Alpha-Stable Representation for MUSIC-Based Sound Source Localization

Abstract : This paper introduces a theoretically-rigorous sound source localization (SSL) method based on a robust extension of the classical multiple signal classification (MUSIC) algorithm. The original SSL method estimates the noise eigenvectors and the MUSIC spectrum by computing the spatial covariance matrix of the observed multichannel signal and then detects the peaks from the spectrum. In this work, the covariance matrix is replaced with the positive definite shape matrix originating from the elliptically contoured α-stable model, which is more suitable under real noisy high-reverberant conditions. Evaluation on synthetic data shows that the proposed method outperforms baseline methods under such adverse conditions, while it is comparable on real data recorded in a mild acoustic condition.
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Contributor : Diego Di Carlo Connect in order to contact the contributor
Submitted on : Tuesday, March 15, 2022 - 10:17:55 AM
Last modification on : Thursday, July 21, 2022 - 10:20:02 AM


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  • HAL Id : hal-03608767, version 1


Mathieu Fontaine, Diego Di Carlo, Kouhei Sekiguchi, Aditya Arie Nugraha, Yoshiaki Bando, et al.. Elliptically Contoured Alpha-Stable Representation for MUSIC-Based Sound Source Localization. 2022. ⟨hal-03608767⟩



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