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Joint acoustic localization and dereverberation through plane wave decomposition and sparse regularization

Antonello, Niccolò, De Sena, Enzo, Moonen, Marc, Naylor, Patrick A. and van Waterschoot, Toon (2019) Joint acoustic localization and dereverberation through plane wave decomposition and sparse regularization IEEE Transactions on Audio, Speech and Language Processing, 27 (12). pp. 1893-1905.

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Abstract

Acoustic source localization and dereverberation are formulated jointly as an inverse problem. The inverse problem consists of the approximation of the sound field measured by a set of microphones. The recorded sound pressure is matched with that of a particular acoustic model based on a collection of plane waves arriving from different directions at the microphone positions. In order to achieve meaningful results, spatial and spatio-spectral sparsity can be promoted in the weight signals controlling the plane waves. The large-scale optimization problem resulting from the inverse problem formulation is solved using a first order optimization algorithm combined with a weighted overlap-add procedure. It is shown that once the weight signals capable of effectively approximating the sound field are obtained, they can be readily used to localize a moving sound source in terms of direction of arrival (DOA) and to perform dereverberation in a highly reverberant environment. Results from simulation experiments and from real measurements show that the proposed algorithm is robust against both localized and diffuse noise exhibiting a noise reduction in the dereverberated signals.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > Department of Music and Media
Authors :
NameEmailORCID
Antonello, Niccolò
De Sena, Enzoe.desena@surrey.ac.uk
Moonen, Marc
Naylor, Patrick A.
van Waterschoot, Toon
Date : December 2019
Funders : European Commission, FP7-PEOPLE Marie Curie Initial Training Network “Dereverberation and Reverberation of Audio, Music, and Speech (DREAMS), European Research Council under, KU Leuven Impulsfonds, KU Leuven Internal Funds, KU Leuven C2-16-00449 “Distributed Digital Signal Processing for Ad-Hoc Wireless Local Area Audio Networking
DOI : 10.1109/TASLP.2019.2933047
Copyright Disclaimer : © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords : Dereverberation; Source localization; Sparse sensing; Inverse problems
Additional Information : This work was supported in part by the European Commission under Grant 316969, which was carried out at the ESAT Laboratory of KU Leuven within the frame of the FP7-PEOPLE Marie Curie Initial Training Network “Dereverberation and Reverberation of Audio, Music, and Speech (DREAMS),” in part by the KU Leuven Impulsfonds IMP/14/037, in part by the KU Leuven Internal Funds VES/16/032, in part by the KU Leuven C2-16-00449 “Distributed Digital Signal Processing for Ad-Hoc Wireless Local Area Audio Networking,” and in part by the European Research Council under the European Union’s Horizon 2020 research and innovation program/ERC Consolidator Grant: SONORA (773268).
Depositing User : Diane Maxfield
Date Deposited : 08 Aug 2019 11:59
Last Modified : 28 Oct 2019 11:30
URI: http://epubs.surrey.ac.uk/id/eprint/852380

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