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Engineering Brief Open Access

Applause detection filter design for remote live-viewing with adaptive modeling filter

Authors: Kawahara, Kazuhiko; Karakawa, Masahiro; Omoto, Akira; Kamamoto, Yutaka

AES Convention 152 · Paper 675 · May 2022

Abstract

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.

Details

Published in
AES Convention 152
AES Convention
152
Paper number
675
Publication date
May 6, 2022
Session subject
Audio Synthesis & Audio Effects
Affiliation
Kyushu University, Japan; Nippon Telegraph and Telephone Corp, Japan (See document for exact affiliation information.)
Type
Engineering Brief