University of Surrey

Test tubes in the lab Research in the ATI Dance Research

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.

[img] Text
response_to_reviewers3v4.pdf - Accepted version Manuscript
Restricted to Repository staff only

Download (1MB)


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 :
Antonello, Niccolò
De Sena,
Moonen, Marc
Naylor, Patrick A.
van Waterschoot, Toon
Date : 28 July 2019
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
Depositing User : Diane Maxfield
Date Deposited : 08 Aug 2019 11:59
Last Modified : 08 Aug 2019 11:59

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800