Towards perceptually optimized sound zones: A proof-of-concept study

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The creation of sound zones has been an active research topic for approximately two decades. Many sound zone control methods have been proposed, and the best approaches result in a target to interferer ratio (TIR) of about 15 dB in a practical set-up. Unfortunately, this is far from a TIR of about 25 dB which is currently believed necessary to make sound zones commercially viable. However, state-of-the-art sound zone control methods take neither the input signal characteristics nor human auditory perception into account. In this paper, we show how a recently proposed sound zone control framework called VAST can be extended into perceptual VAST (P-VAST) which takes input signal characteristics and human auditory perception into account. We also make a proof-of-concept simulation and an AB preference test which both show that P-VAST outperforms traditional sound zone control methods in terms of perceptually meaningful metrics such as STOI and PESQ in a fairly simple set-up.
OriginalsprogEngelsk
Titel2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
ForlagIEEE
Publikationsdato17 apr. 2019
Sider136-140
ISBN (Trykt)978-1-4799-8132-8
ISBN (Elektronisk)978-1-4799-8131-1
DOI
StatusUdgivet - 17 apr. 2019
Begivenhed2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) - Brighton, Storbritannien
Varighed: 12 maj 201917 maj 2019
https://2019.ieeeicassp.org/

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Konference2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
LandStorbritannien
ByBrighton
Periode12/05/201917/05/2019
Internetadresse

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Lee, T., Nielsen, J. K., & Christensen, M. G. (2019). Towards perceptually optimized sound zones: A proof-of-concept study. I 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (s. 136-140). IEEE. https://doi.org/10.1109/ICASSP.2019.8682902
Lee, Taewoong ; Nielsen, Jesper Kjær ; Christensen, Mads Græsbøll. / Towards perceptually optimized sound zones: A proof-of-concept study. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. s. 136-140
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abstract = "The creation of sound zones has been an active research topic for approximately two decades. Many sound zone control methods have been proposed, and the best approaches result in a target to interferer ratio (TIR) of about 15 dB in a practical set-up. Unfortunately, this is far from a TIR of about 25 dB which is currently believed necessary to make sound zones commercially viable. However, state-of-the-art sound zone control methods take neither the input signal characteristics nor human auditory perception into account. In this paper, we show how a recently proposed sound zone control framework called VAST can be extended into perceptual VAST (P-VAST) which takes input signal characteristics and human auditory perception into account. We also make a proof-of-concept simulation and an AB preference test which both show that P-VAST outperforms traditional sound zone control methods in terms of perceptually meaningful metrics such as STOI and PESQ in a fairly simple set-up.",
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Lee, T, Nielsen, JK & Christensen, MG 2019, Towards perceptually optimized sound zones: A proof-of-concept study. i 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, s. 136-140, 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brighton, Storbritannien, 12/05/2019. https://doi.org/10.1109/ICASSP.2019.8682902

Towards perceptually optimized sound zones: A proof-of-concept study. / Lee, Taewoong; Nielsen, Jesper Kjær; Christensen, Mads Græsbøll.

2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2019. s. 136-140.

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

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Lee T, Nielsen JK, Christensen MG. Towards perceptually optimized sound zones: A proof-of-concept study. I 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE. 2019. s. 136-140 https://doi.org/10.1109/ICASSP.2019.8682902