Presentation 2010-10-21
Multiple Sound Source Localization Method with Forgetting Factor depending on Variation of Evaluation Function Value
Hiroshi UMEDU, Kenji SUYAMA,
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Abstract(in English) In this paper, we study on a multiple sound source localization method using two microphones. In speech signals, there are several time-frequency regions denominated by the single source energy because of the speech sparseness and frequency energy localization characteristic even if multiple sound sources exist simultaneously. In such regions, we can carry out the sound source localization using two microphones. In the method, we prevent a accuracy degradation by the PAST-IPLS. In addition, we adjust a forgetting factor value used in the PAST depending on a variation of evaluation function value. Several experimental results in actual room environments are shown to present the effectiveness of proposed method.
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Keyword(in English) microphone array / sound source localization / sparseness
Paper # EA2010-60
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Committee EA
Conference Date 2010/10/14(1days)
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Registration To Engineering Acoustics (EA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Multiple Sound Source Localization Method with Forgetting Factor depending on Variation of Evaluation Function Value
Sub Title (in English)
Keyword(1) microphone array
Keyword(2) sound source localization
Keyword(3) sparseness
1st Author's Name Hiroshi UMEDU
1st Author's Affiliation Department of Electrical and Electronic Engineering, Faculty of Engineering, Tokyo Denki University()
2nd Author's Name Kenji SUYAMA
2nd Author's Affiliation Department of Electrical and Electronic Engineering, Faculty of Engineering, Tokyo Denki University
Date 2010-10-21
Paper # EA2010-60
Volume (vol) vol.110
Number (no) 239
Page pp.pp.-
#Pages 6
Date of Issue