DOA Estimation with Local-Peak-Weighted CSP

This paper proposes a novel weighting algorithm for Cross-power Spectrum Phase (CSP) analysis to improve the accuracy of direction of arrival (DOA) estimation for beamforming in a noisy environment. Our sound source is a human speaker and the noise is broadband noise in an automobile. The harmonic s...

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Main Authors: Osamu Ichikawa, Takashi Fukuda, Masafumi Nishimura
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Advances in Signal Processing
Online Access:http://dx.doi.org/10.1155/2010/358729
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author Osamu Ichikawa
Takashi Fukuda
Masafumi Nishimura
author_facet Osamu Ichikawa
Takashi Fukuda
Masafumi Nishimura
author_sort Osamu Ichikawa
collection DOAJ
description This paper proposes a novel weighting algorithm for Cross-power Spectrum Phase (CSP) analysis to improve the accuracy of direction of arrival (DOA) estimation for beamforming in a noisy environment. Our sound source is a human speaker and the noise is broadband noise in an automobile. The harmonic structures in the human speech spectrum can be used for weighting the CSP analysis, because harmonic bins must contain more speech power than the others and thus give us more reliable information. However, most conventional methods leveraging harmonic structures require pitch estimation with voiced-unvoiced classification, which is not sufficiently accurate in noisy environments. In our new approach, the observed power spectrum is directly converted into weights for the CSP analysis by retaining only the local peaks considered to be harmonic structures. Our experiment showed the proposed approach significantly reduced the errors in localization, and it showed further improvements when used with other weighting algorithms.
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spelling doaj.art-45b3dd7eb2fe4dc18499936782ef74932022-12-22T01:18:36ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802010-01-01201010.1155/2010/358729DOA Estimation with Local-Peak-Weighted CSPOsamu IchikawaTakashi FukudaMasafumi NishimuraThis paper proposes a novel weighting algorithm for Cross-power Spectrum Phase (CSP) analysis to improve the accuracy of direction of arrival (DOA) estimation for beamforming in a noisy environment. Our sound source is a human speaker and the noise is broadband noise in an automobile. The harmonic structures in the human speech spectrum can be used for weighting the CSP analysis, because harmonic bins must contain more speech power than the others and thus give us more reliable information. However, most conventional methods leveraging harmonic structures require pitch estimation with voiced-unvoiced classification, which is not sufficiently accurate in noisy environments. In our new approach, the observed power spectrum is directly converted into weights for the CSP analysis by retaining only the local peaks considered to be harmonic structures. Our experiment showed the proposed approach significantly reduced the errors in localization, and it showed further improvements when used with other weighting algorithms.http://dx.doi.org/10.1155/2010/358729
spellingShingle Osamu Ichikawa
Takashi Fukuda
Masafumi Nishimura
DOA Estimation with Local-Peak-Weighted CSP
EURASIP Journal on Advances in Signal Processing
title DOA Estimation with Local-Peak-Weighted CSP
title_full DOA Estimation with Local-Peak-Weighted CSP
title_fullStr DOA Estimation with Local-Peak-Weighted CSP
title_full_unstemmed DOA Estimation with Local-Peak-Weighted CSP
title_short DOA Estimation with Local-Peak-Weighted CSP
title_sort doa estimation with local peak weighted csp
url http://dx.doi.org/10.1155/2010/358729
work_keys_str_mv AT osamuichikawa doaestimationwithlocalpeakweightedcsp
AT takashifukuda doaestimationwithlocalpeakweightedcsp
AT masafuminishimura doaestimationwithlocalpeakweightedcsp