DOA estimation in noisy environment with unknown noise power using the em algorithm

Ofer Schwartz; Yuval Dorfan; Maja Taseska; Emanuel A.P. Habets; Sharon Gannot

doi:10.1109/hscma.2017.7895567

DOA estimation in noisy environment with unknown noise power using the em algorithm

Ofer Schwartz, Yuval Dorfan, Maja Taseska, Emanuel A.P. Habets, Sharon Gannot

Bar-Ilan University - The Alexander Kofkin Faculty of Engineering

Friedrich-Alexander University Erlangen-Nürnberg

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

23 Scopus citations

Abstract

A direction of arrival (DOA) estimator for concurrent speakers in a noisy environment with unknown noise power is presented. Spatially colored noise, if not properly addressed, is known to degrade the performance of DOA estimators. In our contribution, the DOA estimation task is formulated as a maximum likelihood (ML) problem, which is solved using the expectation-maximization (EM) procedure. The received microphone signals are modelled as a sum of the speech and noise components. The noise power spectral density (PSD) matrix is modelled by a time-invariant full-rank coherence matrix multiplied by the noise power. The PSDs of the speech and noise components are estimated as part of the EM procedure. The benefit of the presented algorithm in a simulated noisy environment using measured room impulse responses is demonstrated.

Original language	English
Title of host publication	2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	86-90
Number of pages	5
ISBN (Electronic)	9781509059256
DOIs	https://doi.org/10.1109/hscma.2017.7895567
State	Published - 10 Apr 2017
Event	2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - San Francisco, United States Duration: 1 Mar 2017 → 3 Mar 2017

Publication series

Name	2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings

Conference

Conference	2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017
Country/Territory	United States
City	San Francisco
Period	1/03/17 → 3/03/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

DOA estimation
Expectation-maximization (EM)
Maximum-likelihood

Access to Document

10.1109/hscma.2017.7895567

Cite this

Schwartz, O., Dorfan, Y., Taseska, M., Habets, E. A. P., & Gannot, S. (2017). DOA estimation in noisy environment with unknown noise power using the em algorithm. In 2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings (pp. 86-90). Article 7895567 (2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/hscma.2017.7895567

Schwartz, Ofer ; Dorfan, Yuval ; Taseska, Maja et al. / DOA estimation in noisy environment with unknown noise power using the em algorithm. 2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 86-90 (2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings).

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abstract = "A direction of arrival (DOA) estimator for concurrent speakers in a noisy environment with unknown noise power is presented. Spatially colored noise, if not properly addressed, is known to degrade the performance of DOA estimators. In our contribution, the DOA estimation task is formulated as a maximum likelihood (ML) problem, which is solved using the expectation-maximization (EM) procedure. The received microphone signals are modelled as a sum of the speech and noise components. The noise power spectral density (PSD) matrix is modelled by a time-invariant full-rank coherence matrix multiplied by the noise power. The PSDs of the speech and noise components are estimated as part of the EM procedure. The benefit of the presented algorithm in a simulated noisy environment using measured room impulse responses is demonstrated.",

keywords = "DOA estimation, Expectation-maximization (EM), Maximum-likelihood",

author = "Ofer Schwartz and Yuval Dorfan and Maja Taseska and Habets, {Emanuel A.P.} and Sharon Gannot",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 ; Conference date: 01-03-2017 Through 03-03-2017",

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doi = "10.1109/hscma.2017.7895567",

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Schwartz, O, Dorfan, Y, Taseska, M, Habets, EAP & Gannot, S 2017, DOA estimation in noisy environment with unknown noise power using the em algorithm. in 2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings., 7895567, 2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 86-90, 2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017, San Francisco, United States, 1/03/17. https://doi.org/10.1109/hscma.2017.7895567

DOA estimation in noisy environment with unknown noise power using the em algorithm. / Schwartz, Ofer; Dorfan, Yuval; Taseska, Maja et al.
2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 86-90 7895567 (2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings).

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

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AB - A direction of arrival (DOA) estimator for concurrent speakers in a noisy environment with unknown noise power is presented. Spatially colored noise, if not properly addressed, is known to degrade the performance of DOA estimators. In our contribution, the DOA estimation task is formulated as a maximum likelihood (ML) problem, which is solved using the expectation-maximization (EM) procedure. The received microphone signals are modelled as a sum of the speech and noise components. The noise power spectral density (PSD) matrix is modelled by a time-invariant full-rank coherence matrix multiplied by the noise power. The PSDs of the speech and noise components are estimated as part of the EM procedure. The benefit of the presented algorithm in a simulated noisy environment using measured room impulse responses is demonstrated.

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Schwartz O, Dorfan Y, Taseska M, Habets EAP, Gannot S. DOA estimation in noisy environment with unknown noise power using the em algorithm. In 2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 86-90. 7895567. (2017 Hands-Free Speech Communications and Microphone Arrays, HSCMA 2017 - Proceedings). doi: 10.1109/hscma.2017.7895567

DOA estimation in noisy environment with unknown noise power using the em algorithm

Abstract

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Bibliographical note

Keywords

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