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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
SpringerOpen
2010-01-01
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Series: | EURASIP Journal on Advances in Signal Processing |
Online Access: | http://dx.doi.org/10.1155/2010/358729 |
_version_ | 1818524522017456128 |
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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. |
first_indexed | 2024-12-11T05:58:10Z |
format | Article |
id | doaj.art-45b3dd7eb2fe4dc18499936782ef7493 |
institution | Directory Open Access Journal |
issn | 1687-6172 1687-6180 |
language | English |
last_indexed | 2024-12-11T05:58:10Z |
publishDate | 2010-01-01 |
publisher | SpringerOpen |
record_format | Article |
series | EURASIP Journal on Advances in Signal Processing |
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 |