In this section
@inproceedings{Antonello:2018:10.1109/ICASSP.2018.8462451,
author = {Antonello, N and De, Sena E and Moonen, M and Naylor, PA and van, Waterschoot M},
doi = {10.1109/ICASSP.2018.8462451},
pages = {6892--6896},
publisher = {IEEE},
title = {JOINT SOURCE LOCALIZATION AND DEREVERBERATION BY SOUND FIELD INTERPOLATION USING SPARSE REGULARIZATION},
url = {http://dx.doi.org/10.1109/ICASSP.2018.8462451},
year = {2018}
}
TY - CPAPER
AB - 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.
AU - Antonello,N
AU - De,Sena E
AU - Moonen,M
AU - Naylor,PA
AU - van,Waterschoot M
DO - 10.1109/ICASSP.2018.8462451
EP - 6896
PB - IEEE
PY - 2018///
SP - 6892
TI - JOINT SOURCE LOCALIZATION AND DEREVERBERATION BY SOUND FIELD INTERPOLATION USING SPARSE REGULARIZATION
UR - http://dx.doi.org/10.1109/ICASSP.2018.8462451
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000446384607010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/64322
ER -
Speech and Audio Processing Lab
CSP Group, EEE Department
Imperial College London
Exhibition Road, London, SW7 2AZ, United Kingdom