DOA Estimation of Audio Sources in Reverberant Environments

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Resumé

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.

Konference

KonferenceThe 41st IEEE International Conference on Acoustics, Speech and Signal Processing
LandKina
ByShanghai
Periode20/03/201625/03/2016
Internetadresse

Fingerprint

Direction of arrival
Reverberation
Experiments

Emneord

  • Audio localization
  • DOA estimation
  • reverberation
  • nonlinear least squares
  • maximum likelihood

Citer dette

@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 = "3",
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",

}

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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

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

SN - 1520-6149

ER -