Multiple Sound Source Direction Estimation and Sound Source Number Estimation
碩士 === 國立交通大學 === 電機與控制工程系所 === 96 === This work proposes a multiple sound source direction estimation and sound source number estimation method by using distributed microphone array without the information of sound velocity. This work also proposes an eigenstructure-based generalized cross correlat...
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ndltd-TW-096NCTU55911132015-10-13T12:18:06Z http://ndltd.ncl.edu.tw/handle/23799296724314561439 Multiple Sound Source Direction Estimation and Sound Source Number Estimation 多聲源方位偵測與聲源數量估算 Cheng-Kang Wang 汪正剛 碩士 國立交通大學 電機與控制工程系所 96 This work proposes a multiple sound source direction estimation and sound source number estimation method by using distributed microphone array without the information of sound velocity. This work also proposes an eigenstructure-based generalized cross correlation method (ES-GCC) for estimating time delay between microphones. Upon obtaining the time delay information, the sound source direction and velocity can be estimated by least square method. In multiple sound source case, the time delay combination among microphones is arranged such that the estimated sound speed value falls within an acceptable range. By accumulating the estimation result of sound source direction and using adaptive K-means++ algorithm, we can estimate the sound source number and direction for each source. Experimental results are carried out in the real environment to evaluate the performance of the proposed algorithm. Jwu-Sheng Hu Kuu-Young Young 胡竹生 楊谷洋 2008 學位論文 ; thesis 38 zh-TW |
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碩士 === 國立交通大學 === 電機與控制工程系所 === 96 === This work proposes a multiple sound source direction estimation and sound source number estimation method by using distributed microphone array without the information of sound velocity. This work also proposes an eigenstructure-based generalized cross correlation method (ES-GCC) for estimating time delay between microphones. Upon obtaining the time delay information, the sound source direction and velocity can be estimated by least square method. In multiple sound source case, the time delay combination among microphones is arranged such that the estimated sound speed value falls within an acceptable range. By accumulating the estimation result of sound source direction and using adaptive K-means++ algorithm, we can estimate the sound source number and direction for each source. Experimental results are carried out in the real environment to evaluate the performance of the proposed algorithm.
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Jwu-Sheng Hu |
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Jwu-Sheng Hu Cheng-Kang Wang 汪正剛 |
author |
Cheng-Kang Wang 汪正剛 |
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Cheng-Kang Wang 汪正剛 Multiple Sound Source Direction Estimation and Sound Source Number Estimation |
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Cheng-Kang Wang |
title |
Multiple Sound Source Direction Estimation and Sound Source Number Estimation |
title_short |
Multiple Sound Source Direction Estimation and Sound Source Number Estimation |
title_full |
Multiple Sound Source Direction Estimation and Sound Source Number Estimation |
title_fullStr |
Multiple Sound Source Direction Estimation and Sound Source Number Estimation |
title_full_unstemmed |
Multiple Sound Source Direction Estimation and Sound Source Number Estimation |
title_sort |
multiple sound source direction estimation and sound source number estimation |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/23799296724314561439 |
work_keys_str_mv |
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1716857884940173312 |