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Joint source localization and dereverberation by sound field interpolation using sparse regularization

Antonello, Niccolo, De Sena, Enzo, Moonen, Marc, Naylor, Patrick A. and van Waterschoot, Toon (2018) Joint source localization and dereverberation by sound field interpolation using sparse regularization In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, 15–20 Apr 2018, Calgary, Alberta, Canada.

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Abstract

In this paper, source localization and dereverberation are formulated jointly as an inverse problem. The inverse problem consists in the interpolation of the sound field measured by a set of microphones by matching the recorded sound pressure with that of a particular acoustic model. This model is based on a collection of equivalent sources creating either spherical or plane waves. In order to achieve meaningful results, spatial, spatio-temporal and spatio-spectral sparsity can be promoted in the signals originating from the equivalent sources. The inverse problem consists of a large-scale optimization problem that is solved using a first order matrix-free optimization algorithm. It is shown that once the equivalent source signals capable of effectively interpolating the sound field are obtained, they can be readily used to localize a speech sound source in terms of Direction of Arrival (DOA) and to perform dereverberation in a highly reverberant environment.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Arts and Social Sciences > School of Arts > Music
Authors :
NameEmailORCID
Antonello, Niccolo
De Sena, Enzoe.desena@surrey.ac.uk
Moonen, Marc
Naylor, Patrick A.
van Waterschoot, Toon
Date : 20 April 2018
Uncontrolled Keywords : Dereverberation; Source localization; Sparse sensing; Inverse problems; Large-scale optimization
Related URLs :
Depositing User : Clive Harris
Date Deposited : 26 Feb 2018 16:00
Last Modified : 21 Apr 2018 02:08
URI: http://epubs.surrey.ac.uk/id/eprint/845896

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