Presentation 2005-03-14
Circular microphone arrays for estimating location of sound sources with Hopfield neural network
Ryuudou NAGASE, Kunio OISHI, Hajime KUBOTA,
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Abstract(in English) This paper presents a direction of arrival estimation of sound sources using the Hopfield neural network with the microphone array. This technique that was originally proposed with array of sensors can decrease computational complexity more than the technique without neural network. The microphone array is used in an application different from the array of sensors. Therefore, this paper proposes a new microphone array model in which the distance of sound sources can be considered. Further, the linear array is difficult to detect the sound from the source on the same line as the linear array. The proposed array has advantage of detecting the arrival sound without the direction.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) estimating location / microphone array / Hopfield neural network / array signal processing
Paper # CAS2004-92,SIP2004-135,CS2004-228
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Committee CS
Conference Date 2005/3/7(1days)
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Registration To Communication Systems (CS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Circular microphone arrays for estimating location of sound sources with Hopfield neural network
Sub Title (in English)
Keyword(1) estimating location
Keyword(2) microphone array
Keyword(3) Hopfield neural network
Keyword(4) array signal processing
1st Author's Name Ryuudou NAGASE
1st Author's Affiliation Graduate School of System Electronics, Tokyo University of Technology()
2nd Author's Name Kunio OISHI
2nd Author's Affiliation School of Computer Science, Tokyo University of Technology
3rd Author's Name Hajime KUBOTA
3rd Author's Affiliation Department of Electrical, Electronics and Computer Engineering, Chiba Institute of Technology
Date 2005-03-14
Paper # CAS2004-92,SIP2004-135,CS2004-228
Volume (vol) vol.104
Number (no) 720
Page pp.pp.-
#Pages 6
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