Generation of Personal Sound Fields in Reverberant Environments Using Interframe Correlation

Liming Shi, Guoli Ping, Xiaoxiang Shen, Mads Græsbøll Christensen

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

1 Citationer (Scopus)

Abstract

Personal sound field control techniques aim to produce sound fields for different sound contents in different places of an acoustic space without interference. The limitations of the state-of-the-art methods for sound field control include high latency and computational complexity, especially in the cases when the reverberation time is long and number of loudspeakers is large. In this paper, we propose a personal sound field control approach that exploits interframe correlation. Considering the past frames, the proposed method can accommodate long reverberation time with a low latency. To find the optimal parameters for the physical meaningful constraints, the subspace decomposition and Newton's method are applied. Furthermore, a sound field distortion oriented subspace construction method is proposed to reduce the subspace dimension. Compared with traditional methods, simulation results show that the proposed algorithm is able to obtain a good trade-off between acoustic contrast and reproduction error with a low latency for measured room impulse responses.

OriginalsprogEngelsk
Titel2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
Antal sider5
ForlagIEEE
Publikationsdato2022
Sider1066-1070
Artikelnummer9747574
ISBN (Trykt)978-1-6654-0541-6
ISBN (Elektronisk)978-1-6654-0540-9
DOI
StatusUdgivet - 2022
Begivenhed47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Virtual, Online, Singapore
Varighed: 23 maj 202227 maj 2022

Konference

Konference47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022
Land/OmrådeSingapore
ByVirtual, Online
Periode23/05/202227/05/2022
SponsorChinese and Oriental Languages Information Processing Society (COLPIS), Singapore Exhibition and Convention Bureau, The Chinese University of Hong Kong, Shenzhen (CUHK-Shenzhen), The Institute of Electrical and Electronics Engineers Signal Processing Society
NavnICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Vol/bind2022-May
ISSN1520-6149

Bibliografisk note

Publisher Copyright:
© 2022 IEEE

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