Presentation 2010-12-10
Diffuse noise robust multiple source localization based on noise reduction in covariance matrix domain
Nobutaka ITO, Emmanuel VINCENT, Nobutaka ONO, Remi GRIBONVAL, Shigeki SAGAYAMA,
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Abstract(in English) In this paper, we propose a method for estimating the azimuths of multiple sound sources accurately even in the presence of diffuse noise. MUSIC (MUltiple SIgnal Classification) for the estimation of the azimuths of multiple sources is robust against spatially white noise but the estimation perftrmance degrades in the presence of diffuse noise. Based on a low-rank assumption on the covariance matrix of directional signals and the assumption that the covariance matrix of diffuse noise belongs to a subspace in a matrix space, the proposed method estimates the covariance matrix of the directional signals and applies MUSIC to the estimated matrix. The subspace model on the covariance matrix of diffuse noise includes as special cases noise models such as spatially uncorrelated noise, noise with a given coherence matrix, and isotropic noise observed with a crystal array. We showed through experiments with real-world noise recordings that the proposed method estimated the azimuths of multiple sources more accurately than the conventional MUSIC.
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Keyword(in English) Source localization / covariance matrix / microphone arrays / MUSIC / diffuse noise
Paper # EA2010-102
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Conference Information
Committee EA
Conference Date 2010/12/3(1days)
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Paper Information
Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Diffuse noise robust multiple source localization based on noise reduction in covariance matrix domain
Sub Title (in English)
Keyword(1) Source localization
Keyword(2) covariance matrix
Keyword(3) microphone arrays
Keyword(4) MUSIC
Keyword(5) diffuse noise
1st Author's Name Nobutaka ITO
1st Author's Affiliation Graduate School of Information Science and Technology, the University of Tokyo()
2nd Author's Name Emmanuel VINCENT
2nd Author's Affiliation INRIA, Centre de Rennes-Bretagne Atlantique
3rd Author's Name Nobutaka ONO
3rd Author's Affiliation Graduate School of Information Science and Technology, the University of Tokyo
4th Author's Name Remi GRIBONVAL
4th Author's Affiliation INRIA, Centre de Rennes-Bretagne Atlantique
5th Author's Name Shigeki SAGAYAMA
5th Author's Affiliation Graduate School of Information Science and Technology, the University of Tokyo
Date 2010-12-10
Paper # EA2010-102
Volume (vol) vol.110
Number (no) 331
Page pp.pp.-
#Pages 6
Date of Issue