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

Zhu, Qiaoxi, Coleman, Philip, Qiu, Xiaojun, Wu, Ming, Yang, Jun and Burnett, Ian (2018) Robust Personal Audio Geometry Optimization in the SVD-Based Modal Domain IEEE/ACM Transactions on Audio, Speech, and Language Processing, 27 (3). pp. 610-620.

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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.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > Department of Music and Media
Authors :
Zhu, Qiaoxi
Qiu, Xiaojun
Wu, Ming
Yang, Jun
Burnett, Ian
Date : 27 December 2018
DOI : 10.1109/TASLP.2018.2889927
Copyright Disclaimer : © 2019 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See standards/publications/rights/index.html for more information.
Uncontrolled Keywords : Spatial audio; Sound zones; Robustness
Depositing User : Clive Harris
Date Deposited : 11 Jan 2019 10:20
Last Modified : 05 Mar 2019 10:13

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