Multi-source direction-of-arrival estimation in a reverberant environment using single acoustic vector sensor

Kai Wu; V. G. Reju; Andy W.H. Khong

doi:10.1109/ICASSP.2015.7178008

Multi-source direction-of-arrival estimation in a reverberant environment using single acoustic vector sensor

Kai Wu, V. G. Reju, Andy W.H. Khong

Nanyang Technological University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

28 Citations (Scopus)

Abstract

We address the problem of estimating direction-of-arrivals (DOAs) for multiple sound sources using a single acoustic vector sensor (AVS) in an enclosed room environment. It is well-known that multi-source DOA estimation in an enclosed environment is challenging due to room reverberation, environmental noise and overlapping of the source spectra. In this work, we propose a multi-source DOA estimation algorithm which exploits co-location of the sensor elements in AVS. We identify time-frequency (TF) zones of the received signals in which only one source is dominant with a high signal-to-reverberation ratio. DOA estimation is then achieved via the use of clustering of the Hermitian angle feature. Simulation results show that the proposed DOA estimation algorithm is robust to both reverberation and environmental noise.

Original language	English
Title of host publication	2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	444-448
Number of pages	5
ISBN (Electronic)	9781467369978
DOIs	https://doi.org/10.1109/ICASSP.2015.7178008
Publication status	Published - Aug 4 2015
Externally published	Yes
Event	40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Brisbane, Australia Duration: Apr 19 2014 → Apr 24 2014

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	2015-August
ISSN (Print)	1520-6149

Conference

Conference	40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
Country/Territory	Australia
City	Brisbane
Period	4/19/14 → 4/24/14

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

ASJC Scopus Subject Areas

Software
Signal Processing
Electrical and Electronic Engineering

Keywords

acoustic vector sensor
Hermitian angle
Multi-source DOA estimation
time-frequency sparsity

Access to Document

10.1109/ICASSP.2015.7178008

Cite this

Wu, K., Reju, V. G., & Khong, A. W. H. (2015). Multi-source direction-of-arrival estimation in a reverberant environment using single acoustic vector sensor. In 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings (pp. 444-448). Article 7178008 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2015-August). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2015.7178008

Wu, Kai ; Reju, V. G. ; Khong, Andy W.H. / Multi-source direction-of-arrival estimation in a reverberant environment using single acoustic vector sensor. 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 444-448 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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abstract = "We address the problem of estimating direction-of-arrivals (DOAs) for multiple sound sources using a single acoustic vector sensor (AVS) in an enclosed room environment. It is well-known that multi-source DOA estimation in an enclosed environment is challenging due to room reverberation, environmental noise and overlapping of the source spectra. In this work, we propose a multi-source DOA estimation algorithm which exploits co-location of the sensor elements in AVS. We identify time-frequency (TF) zones of the received signals in which only one source is dominant with a high signal-to-reverberation ratio. DOA estimation is then achieved via the use of clustering of the Hermitian angle feature. Simulation results show that the proposed DOA estimation algorithm is robust to both reverberation and environmental noise.",

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doi = "10.1109/ICASSP.2015.7178008",

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Wu, K, Reju, VG & Khong, AWH 2015, Multi-source direction-of-arrival estimation in a reverberant environment using single acoustic vector sensor. in 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings., 7178008, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2015-August, Institute of Electrical and Electronics Engineers Inc., pp. 444-448, 40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015, Brisbane, Australia, 4/19/14. https://doi.org/10.1109/ICASSP.2015.7178008

Multi-source direction-of-arrival estimation in a reverberant environment using single acoustic vector sensor. / Wu, Kai; Reju, V. G.; Khong, Andy W.H.
2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2015. p. 444-448 7178008 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vol. 2015-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multi-source direction-of-arrival estimation in a reverberant environment using single acoustic vector sensor

AU - Wu, Kai

AU - Reju, V. G.

AU - Khong, Andy W.H.

PY - 2015/8/4

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N2 - We address the problem of estimating direction-of-arrivals (DOAs) for multiple sound sources using a single acoustic vector sensor (AVS) in an enclosed room environment. It is well-known that multi-source DOA estimation in an enclosed environment is challenging due to room reverberation, environmental noise and overlapping of the source spectra. In this work, we propose a multi-source DOA estimation algorithm which exploits co-location of the sensor elements in AVS. We identify time-frequency (TF) zones of the received signals in which only one source is dominant with a high signal-to-reverberation ratio. DOA estimation is then achieved via the use of clustering of the Hermitian angle feature. Simulation results show that the proposed DOA estimation algorithm is robust to both reverberation and environmental noise.

AB - We address the problem of estimating direction-of-arrivals (DOAs) for multiple sound sources using a single acoustic vector sensor (AVS) in an enclosed room environment. It is well-known that multi-source DOA estimation in an enclosed environment is challenging due to room reverberation, environmental noise and overlapping of the source spectra. In this work, we propose a multi-source DOA estimation algorithm which exploits co-location of the sensor elements in AVS. We identify time-frequency (TF) zones of the received signals in which only one source is dominant with a high signal-to-reverberation ratio. DOA estimation is then achieved via the use of clustering of the Hermitian angle feature. Simulation results show that the proposed DOA estimation algorithm is robust to both reverberation and environmental noise.

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KW - Hermitian angle

KW - Multi-source DOA estimation

KW - time-frequency sparsity

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M3 - Conference contribution

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BT - 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 19 April 2014 through 24 April 2014

ER -

Wu K, Reju VG, Khong AWH. Multi-source direction-of-arrival estimation in a reverberant environment using single acoustic vector sensor. In 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2015. p. 444-448. 7178008. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2015.7178008

Multi-source direction-of-arrival estimation in a reverberant environment using single acoustic vector sensor

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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