TY - GEN
T1 - Applause detection filter design for remote live-viewing with adaptive modeling filter
AU - Kawhara, Kazuhiko
AU - Karakawa, Masahiro
AU - Omoto, Akira
AU - Kamamoto, Yutaka
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP21K17869.
Publisher Copyright:
© (2022) by the Audio Engineering Society All rights reserved.
PY - 2022
Y1 - 2022
N2 - The COVID-19 pandemic prevents us from enjoying live performances. On the other hand, commercial audiovisual 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.
AB - The COVID-19 pandemic prevents us from enjoying live performances. On the other hand, commercial audiovisual 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.
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M3 - Conference contribution
AN - SCOPUS:85136338836
T3 - AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022
SP - 660
EP - 663
BT - AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022
PB - Audio Engineering Society
T2 - AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022
Y2 - 16 May 2022 through 19 May 2022
ER -