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.
Originalsprog | Engelsk |
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Titel | 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings |
Antal sider | 5 |
Forlag | IEEE |
Publikationsdato | 2022 |
Sider | 1066-1070 |
Artikelnummer | 9747574 |
ISBN (Trykt) | 978-1-6654-0541-6 |
ISBN (Elektronisk) | 978-1-6654-0540-9 |
DOI | |
Status | Udgivet - 2022 |
Begivenhed | 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Virtual, Online, Singapore Varighed: 23 maj 2022 → 27 maj 2022 |
Konference
Konference | 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 |
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Land/Område | Singapore |
By | Virtual, Online |
Periode | 23/05/2022 → 27/05/2022 |
Sponsor | Chinese 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 |
Navn | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings |
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Vol/bind | 2022-May |
ISSN | 1520-6149 |
Bibliografisk note
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