DOA Estimation of Audio Sources in Reverberant Environments

Conference Paper (2016)
Author(s)

Jesper Rindom Jensen (Aalborg University)

Jesper Kjær Nielsen (Bang & Olufsen A/S, Aalborg University)

R. Heusdens (Aalborg University, TU Delft - Signal Processing Systems)

Mads G. Christensen (Aalborg University)

Research Group
Signal Processing Systems
Copyright
© 2016 Jesper Rindom Jensen, J.K. Nielsen, R. Heusdens, Mads Græsbøll Christensen
DOI related publication
https://doi.org/10.1109/icassp.2016.7471660
More Info
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Publication Year
2016
Language
English
Copyright
© 2016 Jesper Rindom Jensen, J.K. Nielsen, R. Heusdens, Mads Græsbøll Christensen
Research Group
Signal Processing Systems
Pages (from-to)
176-180
ISBN (electronic)
978-1-4799-9988-0
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

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.

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