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

Signal Processing Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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-the-art estimator in both synthetic and real data experiments with reverberation.

Original language	English
Title of host publication	2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Subtitle of host publication	Proceedings
Editors	Min Dong, Thomas Fang Zheng
Place of Publication	Danvers, MA
Publisher	IEEE
Pages	176-180
Number of pages	5
ISBN (Electronic)	978-1-4799-9988-0
DOIs	https://doi.org/10.1109/icassp.2016.7471660
Publication status	Published - 19 May 2016
Event	2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Shanghai International Convention Center, Shanghai, China Duration: 20 Mar 2016 → 25 Mar 2016

Conference

Conference	2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Abbreviated title	ICASSP
Country/Territory	China
City	Shanghai
Period	20/03/16 → 25/03/16

Bibliographical note

Accepted Author Manuscript

Keywords

maximum likelihood
Audio localization
DOA estimation
reverberation
nonlinear least squares

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10.1109/icassp.2016.7471660

heusdens16icassp3Accepted author manuscript, 247 KB

Cite this

@inproceedings{616d595044d544698dcf7a8b6edef814,

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

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-the-art estimator in both synthetic and real data experiments with reverberation.",

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

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

note = "Accepted Author Manuscript; 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, ICASSP ; Conference date: 20-03-2016 Through 25-03-2016",

year = "2016",

month = may,

day = "19",

doi = "10.1109/icassp.2016.7471660",

language = "English",

pages = "176--180",

editor = "Min Dong and Zheng, {Thomas Fang}",

booktitle = "2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

publisher = "IEEE",

address = "United States",

}

Jensen, JR, Nielsen, JK, Heusdens, R & Christensen, MG 2016, DOA Estimation of Audio Sources in Reverberant Environments. in M Dong & TF Zheng (eds), 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Proceedings. IEEE, Danvers, MA, pp. 176-180, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Shanghai, China, 20/03/16. https://doi.org/10.1109/icassp.2016.7471660

DOA Estimation of Audio Sources in Reverberant Environments. / Jensen, Jesper Rindom; Nielsen, Jesper Kjær; Heusdens, Richard et al.
2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP): Proceedings. ed. / Min Dong; Thomas Fang Zheng. Danvers, MA: IEEE, 2016. p. 176-180.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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

N1 - Accepted Author Manuscript

PY - 2016/5/19

Y1 - 2016/5/19

N2 - 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-the-art estimator in both synthetic and real data experiments with reverberation.

AB - 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-the-art estimator in both synthetic and real data experiments with reverberation.

KW - maximum likelihood

KW - Audio localization

KW - DOA estimation

KW - reverberation

KW - nonlinear least squares

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M3 - Conference contribution

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EP - 180

BT - 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

A2 - Dong, Min

A2 - Zheng, Thomas Fang

PB - IEEE

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Y2 - 20 March 2016 through 25 March 2016

ER -

DOA Estimation of Audio Sources in Reverberant Environments

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Keywords

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