Wideband sound reproduction in a 2D multi-zone system using a combined two-stage Lasso-LS algorithm

Radmanesh, N; Burnett, IS

Wideband sound reproduction in a 2D multi-zone system using a combined two-stage Lasso-LS algorithm

Radmanesh, N Burnett, IS

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, 2012, pp. 453 - 456
Issue Date:: 2012-10-12

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Field	Value	Language
dc.contributor.author	Radmanesh, N	en_US
dc.contributor.author	Burnett, IS https://orcid.org/0000-0003-3795-7722	en_US
dc.date.issued	2012-10-12	en_US
dc.identifier.citation	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, 2012, pp. 453 - 456	en_US
dc.identifier.isbn	9781467310710	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120430
dc.description.abstract	This paper addresses the provision of personal soundfields (zones) to multiple listeners in a space for which there are several fixed, virtual sources. For such multizone systems, optimization of speaker positions and weightings is important to reduce the number of active speakers. In this paper a two stage pressure matching optimization is proposed for wideband sound sources (such as speech signals). In the first stage, the least-absolute shrinkage and selection operator (Lasso) is used to select the speakers' positions for all sources and frequencies. A second stage then optimizes reproduction using all selected speakers on the basis of regularized least-squares (LS) or Lasso algorithm. The performance of these new, two-stage approaches is investigated for different speaker numbers, frequency range and reproduction angles. Results show that a limited arc of speakers using a two-stage optimization can give up to 38dB improvement in zone normalized squared error over a single-stage LS optimization. © 2012 IEEE.	en_US
dc.relation.ispartof	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop	en_US
dc.relation.isbasedon	10.1109/SAM.2012.6250536	en_US
dc.title	Wideband sound reproduction in a 2D multi-zone system using a combined two-stage Lasso-LS algorithm	en_US
dc.type	Conference Proceeding
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

This paper addresses the provision of personal soundfields (zones) to multiple listeners in a space for which there are several fixed, virtual sources. For such multizone systems, optimization of speaker positions and weightings is important to reduce the number of active speakers. In this paper a two stage pressure matching optimization is proposed for wideband sound sources (such as speech signals). In the first stage, the least-absolute shrinkage and selection operator (Lasso) is used to select the speakers' positions for all sources and frequencies. A second stage then optimizes reproduction using all selected speakers on the basis of regularized least-squares (LS) or Lasso algorithm. The performance of these new, two-stage approaches is investigated for different speaker numbers, frequency range and reproduction angles. Results show that a limited arc of speakers using a two-stage optimization can give up to 38dB improvement in zone normalized squared error over a single-stage LS optimization. © 2012 IEEE.

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http://hdl.handle.net/10453/120430