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The COVID-19 pandemic prevents us from enjoying live performances. On the other hand, commercial audio-visual transmission systems, such as live viewing systems, have become more popular and have been increasing. The APRICOT: (APplause for Realistic Immersive Contents Transmission) system was developed and used in some trials to enhance the reality for live viewing. This paper describes an applause sound extraction method for automation of applause sound transmission and a simulation experiment using the sound source recorded live at the venue to assess the applause sound extraction performance. We used an adaptive filter to model the room transfer function. In addition, we designed the inverse filter to emphasize applause sounds and extracted them. The experimental evaluation showed that the system extracted the applause sounds almost correctly under various conditions from the performance sound source.
Author (s): Kawahara, Kazuhiko; Karakawa, Masahiro; Omoto, Akira; Kamamoto, Yutaka
Affiliation:
Kyushu University, Japan; Nippon Telegraph and Telephone Corp, Japan
(See document for exact affiliation information.)
AES Convention: 152
Paper Number:675
Publication Date:
2022-05-06
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Session subject:
Audio Synthesis & Audio Effects
Permalink: https://aes2.org/publications/elibrary-page/?id=21736
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Kawahara, Kazuhiko; Karakawa, Masahiro; Omoto, Akira; Kamamoto, Yutaka; 2022; Applause detection filter design for remote live-viewing with adaptive modeling filter [PDF]; Kyushu University, Japan; Nippon Telegraph and Telephone Corp, Japan; Paper 675; Available from: https://aes2.org/publications/elibrary-page/?id=21736
Kawahara, Kazuhiko; Karakawa, Masahiro; Omoto, Akira; Kamamoto, Yutaka; Applause detection filter design for remote live-viewing with adaptive modeling filter [PDF]; Kyushu University, Japan; Nippon Telegraph and Telephone Corp, Japan; Paper 675; 2022 Available: https://aes2.org/publications/elibrary-page/?id=21736
@article{kawahara2022applause,
author={kawahara kazuhiko and karakawa masahiro and omoto akira and kamamoto yutaka},
journal={journal of the audio engineering society},
title={applause detection filter design for remote live-viewing with adaptive modeling filter},
year={2022},
number={675},
month={may},}