DOA Estimation of Audio Sources in Reverberant Environments

Jesper Rindom Jensen; Jesper Kjær Nielsen; Richard Heusdens; Mads Græsbøll Christensen

doi:10.1109/ICASSP.2016.7471660

DOA Estimation of Audio Sources in Reverberant Environments

Jesper Rindom Jensen, Jesper Kjær Nielsen, Richard Heusdens, Mads Græsbøll Christensen

Research output: Contribution to journal › Conference article in Journal › Research › peer-review

18 Citations (Scopus)

424 Downloads (Pure)

Abstract

Reverberation is well-known to have a detrimental impact on many
localization methods for audio sources. We address this problem by
imposing a model for the early reflections as well as a model for the
audio source itself. Using these models, we propose two iterative
localization methods that estimate the direction-of-arrival (DOA) of
both the direct path of the audio source and the early reflections. In
these methods, the contribution of the early reflections is essentially
subtracted from the signal observations before localization of the direct
path component, which may reduce the estimation bias. Our
simulation results show that we can estimate the DOA of the desired
signal more accurately with this procedure compared to state-of-theart
estimator in both synthetic and real data experiments with reverberation.

Original language	English
Journal	I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings
Number of pages	5
ISSN	1520-6149
DOIs	https://doi.org/10.1109/ICASSP.2016.7471660
Publication status	Published - Mar 2016
Event	The 41st IEEE International Conference on Acoustics, Speech and Signal Processing - Shanghai, China Duration: 20 Mar 2016 → 25 Mar 2016 http://www.icassp2016.org/

Conference

Conference	The 41st IEEE International Conference on Acoustics, Speech and Signal Processing
Country/Territory	China
City	Shanghai
Period	20/03/2016 → 25/03/2016
Internet address	http://www.icassp2016.org/

Keywords

audio localization
DOA estimation
reverberation
nonlinear least squares
maximum likelihood

Access to Document

10.1109/ICASSP.2016.7471660

Jensen_et_al_ICASSP2016_rev3Accepted author manuscript, 241 KB

AUB Link

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Localization and Tracking of Speech - a Joint Audio-Visual Approach
Jensen, J. R.
01/10/2013 → 30/09/2016
Project: Research
Spatio-Temporal Filtering Methods for Enhancement and Separation of Speech Signals
Christensen, M. G., Nørholm, S. M., Karimian-Azari, S. & Jensen, J. R.
01/08/2012 → 30/06/2015
Project: Research

Cite this

@inproceedings{b645df0f3e6245c6b9eefa369cdc159d,

title = "DOA Estimation of Audio Sources in Reverberant Environments",

abstract = "Reverberation is well-known to have a detrimental impact on manylocalization methods for audio sources. We address this problem byimposing a model for the early reflections as well as a model for theaudio source itself. Using these models, we propose two iterativelocalization methods that estimate the direction-of-arrival (DOA) ofboth the direct path of the audio source and the early reflections. Inthese methods, the contribution of the early reflections is essentiallysubtracted from the signal observations before localization of the directpath component, which may reduce the estimation bias. Oursimulation results show that we can estimate the DOA of the desiredsignal more accurately with this procedure compared to state-of-theartestimator in both synthetic and real data experiments with reverberation.",

keywords = "Audio localization, DOA estimation, reverberation, nonlinear least squares, maximum likelihood, audio localization, DOA estimation, reverberation, nonlinear least squares, maximum likelihood",

author = "Jensen, {Jesper Rindom} and Nielsen, {Jesper Kj{\ae}r} and Richard Heusdens and Christensen, {Mads Gr{\ae}sb{\o}ll}",

year = "2016",

month = mar,

doi = "10.1109/ICASSP.2016.7471660",

language = "English",

journal = "I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings",

issn = "1520-6149",

publisher = "IEEE Signal Processing Society",

note = "The 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 ; Conference date: 20-03-2016 Through 25-03-2016",

url = "http://www.icassp2016.org/",

}

TY - GEN

T1 - DOA Estimation of Audio Sources in Reverberant Environments

AU - Jensen, Jesper Rindom

AU - Nielsen, Jesper Kjær

AU - Heusdens, Richard

AU - Christensen, Mads Græsbøll

PY - 2016/3

Y1 - 2016/3

N2 - Reverberation is well-known to have a detrimental impact on manylocalization methods for audio sources. We address this problem byimposing a model for the early reflections as well as a model for theaudio source itself. Using these models, we propose two iterativelocalization methods that estimate the direction-of-arrival (DOA) ofboth the direct path of the audio source and the early reflections. Inthese methods, the contribution of the early reflections is essentiallysubtracted from the signal observations before localization of the directpath component, which may reduce the estimation bias. Oursimulation results show that we can estimate the DOA of the desiredsignal more accurately with this procedure compared to state-of-theartestimator in both synthetic and real data experiments with reverberation.

AB - Reverberation is well-known to have a detrimental impact on manylocalization methods for audio sources. We address this problem byimposing a model for the early reflections as well as a model for theaudio source itself. Using these models, we propose two iterativelocalization methods that estimate the direction-of-arrival (DOA) ofboth the direct path of the audio source and the early reflections. Inthese methods, the contribution of the early reflections is essentiallysubtracted from the signal observations before localization of the directpath component, which may reduce the estimation bias. Oursimulation results show that we can estimate the DOA of the desiredsignal more accurately with this procedure compared to state-of-theartestimator in both synthetic and real data experiments with reverberation.

KW - Audio localization

KW - DOA estimation

KW - reverberation

KW - nonlinear least squares

KW - maximum likelihood

KW - audio localization

KW - DOA estimation

KW - reverberation

KW - nonlinear least squares

KW - maximum likelihood

U2 - 10.1109/ICASSP.2016.7471660

DO - 10.1109/ICASSP.2016.7471660

M3 - Conference article in Journal

SN - 1520-6149

JO - I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings

JF - I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings

T2 - The 41st IEEE International Conference on Acoustics, Speech and Signal Processing

Y2 - 20 March 2016 through 25 March 2016

ER -

DOA Estimation of Audio Sources in Reverberant Environments

Abstract

Conference

Keywords

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Projects

Localization and Tracking of Speech - a Joint Audio-Visual Approach

Spatio-Temporal Filtering Methods for Enhancement and Separation of Speech Signals

Cite this