Multisource DOA estimation in a reverberant environment using a single acoustic vector sensor

We address the problem of direction-of-arrival (DOA) estimation for multiple speech sources in an enclosed environment using a single acoustic vector sensor. The challenges in such scenario include reverberation and overlapping of the source signals. In this work, we exploit low-reverberant-single-s...

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Main Authors: Wu, Kai, Reju, Vaninirappuputhenpurayil Gopalan, Khong, Andy Wai Hoong
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2020
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Online Access:https://hdl.handle.net/10356/139351
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1393512020-05-19T04:09:49Z Multisource DOA estimation in a reverberant environment using a single acoustic vector sensor Wu, Kai Reju, Vaninirappuputhenpurayil Gopalan Khong, Andy Wai Hoong School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering DOA Estimation Multiple Sources We address the problem of direction-of-arrival (DOA) estimation for multiple speech sources in an enclosed environment using a single acoustic vector sensor. The challenges in such scenario include reverberation and overlapping of the source signals. In this work, we exploit low-reverberant-single-source (LRSS) points in the time-frequency (TF) domain, where a particular source is dominant with high signal-to-reverberation ratio. Unlike conventional algorithms having limitation that such potential points need to be detected at “TF-zone” level, the proposed algorithm performs LRSS detection at “TF-point” level. Therefore, for the proposed algorithm, the potential LRSS points need not be neighbors of each other within a TF zone to be detected, resulting an increased number of detected LRSS points. The detected LRSS points are further screened by an outlier removal step such that only reliable LRSS points will be used for DOA estimation. Simulations and experiments were conducted to demonstrate the effectiveness of the proposed algorithm in multisource reverberant environments. 2020-05-19T04:09:49Z 2020-05-19T04:09:49Z 2018 Journal Article Wu, K., Reju, V. G., & Khong, A. W. H. (2018). Multisource DOA estimation in a reverberant environment using a single acoustic vector sensor. IEEE/ACM Transactions on Audio Speech and Language Processing, 26(10), 1848-1859. doi:10.1109/TASLP.2018.2845121 2329-9290 https://hdl.handle.net/10356/139351 10.1109/TASLP.2018.2845121 2-s2.0-85048175010 10 26 1848 1859 en IEEE/ACM Transactions on Audio Speech and Language Processing © 2018 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
DOA Estimation
Multiple Sources
spellingShingle Engineering::Electrical and electronic engineering
DOA Estimation
Multiple Sources
Wu, Kai
Reju, Vaninirappuputhenpurayil Gopalan
Khong, Andy Wai Hoong
Multisource DOA estimation in a reverberant environment using a single acoustic vector sensor
description We address the problem of direction-of-arrival (DOA) estimation for multiple speech sources in an enclosed environment using a single acoustic vector sensor. The challenges in such scenario include reverberation and overlapping of the source signals. In this work, we exploit low-reverberant-single-source (LRSS) points in the time-frequency (TF) domain, where a particular source is dominant with high signal-to-reverberation ratio. Unlike conventional algorithms having limitation that such potential points need to be detected at “TF-zone” level, the proposed algorithm performs LRSS detection at “TF-point” level. Therefore, for the proposed algorithm, the potential LRSS points need not be neighbors of each other within a TF zone to be detected, resulting an increased number of detected LRSS points. The detected LRSS points are further screened by an outlier removal step such that only reliable LRSS points will be used for DOA estimation. Simulations and experiments were conducted to demonstrate the effectiveness of the proposed algorithm in multisource reverberant environments.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Wu, Kai
Reju, Vaninirappuputhenpurayil Gopalan
Khong, Andy Wai Hoong
format Article
author Wu, Kai
Reju, Vaninirappuputhenpurayil Gopalan
Khong, Andy Wai Hoong
author_sort Wu, Kai
title Multisource DOA estimation in a reverberant environment using a single acoustic vector sensor
title_short Multisource DOA estimation in a reverberant environment using a single acoustic vector sensor
title_full Multisource DOA estimation in a reverberant environment using a single acoustic vector sensor
title_fullStr Multisource DOA estimation in a reverberant environment using a single acoustic vector sensor
title_full_unstemmed Multisource DOA estimation in a reverberant environment using a single acoustic vector sensor
title_sort multisource doa estimation in a reverberant environment using a single acoustic vector sensor
publishDate 2020
url https://hdl.handle.net/10356/139351
_version_ 1681056768328728576