Robust Personal Audio Geometry Optimization in the SVD-Based Modal Domain

Zhu, Q; Coleman, P; Qiu, X; Wu, M; Yang, J; Burnett, I

Robust Personal Audio Geometry Optimization in the SVD-Based Modal Domain

Zhu, Q

Coleman, P

Qiu, X

Wu, M Yang, J

Burnett, I

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Publication Type:: Journal Article
Citation:: IEEE/ACM Transactions on Audio Speech and Language Processing, 2019, 27 (3), pp. 610 - 620
Issue Date:: 2019-03-01

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Field	Value	Language
dc.contributor.author	Zhu, Q https://orcid.org/0000-0003-3942-0945	en_US
dc.contributor.author	Coleman, P https://orcid.org/0000-0002-3266-7358	en_US
dc.contributor.author	Qiu, X https://orcid.org/0000-0002-5181-1220	en_US
dc.contributor.author	Wu, M	en_US
dc.contributor.author	Yang, J https://orcid.org/0000-0003-2807-6130	en_US
dc.contributor.author	Burnett, I https://orcid.org/0000-0003-3795-7722	en_US
dc.date.available	2021-03-22T18:04:29Z
dc.date.issued	2019-03-01	en_US
dc.identifier.citation	IEEE/ACM Transactions on Audio Speech and Language Processing, 2019, 27 (3), pp. 610 - 620	en_US
dc.identifier.issn	2329-9290	en_US
dc.identifier.uri	http://hdl.handle.net/10453/129896
dc.description.abstract	© 2014 IEEE. Personal audio generates sound zones in a shared space to provide private and personalized listening experiences with minimized interference between consumers. Regularization has been commonly used to increase the robustness of such systems against potential perturbations in the sound reproduction. However, the performance is limited by the system geometry such as the number and location of the loudspeakers and controlled zones. This paper proposes a geometry optimization method to find the most geometrically robust approach for personal audio amongst all available candidate system placements. The proposed method aims to approach the most 'natural' sound reproduction so that the solo control of the listening zone coincidently accompanies the preferred quiet zone. Being formulated in the SVD-based modal domain, the method is demonstrated by applications in three typical personal audio optimizations, i.e., the acoustic contrast control, the pressure matching, and the planarity control. Simulation results show that the proposed method can obtain the system geometry with better avoidance of 'occlusion,' improved robustness to regularization, and improved broadband equalization.	en_US
dc.relation	http://purl.org/au-research/grants/arc/LP160100616
dc.relation.ispartof	IEEE/ACM Transactions on Audio Speech and Language Processing	en_US
dc.relation.isbasedon	10.1109/TASLP.2018.2889927	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Robust Personal Audio Geometry Optimization in the SVD-Based Modal Domain	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	27	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
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	27	en_US

Abstract:

© 2014 IEEE. Personal audio generates sound zones in a shared space to provide private and personalized listening experiences with minimized interference between consumers. Regularization has been commonly used to increase the robustness of such systems against potential perturbations in the sound reproduction. However, the performance is limited by the system geometry such as the number and location of the loudspeakers and controlled zones. This paper proposes a geometry optimization method to find the most geometrically robust approach for personal audio amongst all available candidate system placements. The proposed method aims to approach the most 'natural' sound reproduction so that the solo control of the listening zone coincidently accompanies the preferred quiet zone. Being formulated in the SVD-based modal domain, the method is demonstrated by applications in three typical personal audio optimizations, i.e., the acoustic contrast control, the pressure matching, and the planarity control. Simulation results show that the proposed method can obtain the system geometry with better avoidance of 'occlusion,' improved robustness to regularization, and improved broadband equalization.

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http://hdl.handle.net/10453/129896