Presentation	2014-02-06 Multiple Sound Source Tracking Based on Speech Sparseness using PSO Masato HIRAKAWA, Kenji SUYAMA,
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Abstract(in English)	In this paper, a method for sound source tracking by two microphones is proposed. In this method, PSO (Particle Swarm Optimization) is used for searching multiple peaks on MUSIC (MUltiple SIgnal Classification) spectrum based on speech sparseness. A penalty function is added in an evaluation function of PSO for avoiding the spatial aliasing and catching multiple peaks. Several experiments were conducted in an actual room to evaluate the effectiveness of the proposed method.
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Keyword(in English)	microphone array / sound source tracking / speech sparseness / PSO
Paper #	CAS2013-76
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Conference Information
Committee	CAS
Conference Date	2014/1/30(1days)
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Paper Information
Registration To	Circuits and Systems (CAS)
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Multiple Sound Source Tracking Based on Speech Sparseness using PSO
Sub Title (in English)
Keyword(1)	microphone array
Keyword(2)	sound source tracking
Keyword(3)	speech sparseness
Keyword(4)	PSO
1st Author's Name	Masato HIRAKAWA
1st Author's Affiliation	School of Engineering, Tokyo Denki University()
2nd Author's Name	Kenji SUYAMA
2nd Author's Affiliation	School of Engineering, Tokyo Denki University
Date	2014-02-06
Paper #	CAS2013-76
Volume (vol)	vol.113
Number (no)	427
Page	pp.pp.-
#Pages	6
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