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

Kazuhiko Kawhara, Masahiro Karakawa, Akira Omoto, Yutaka Kamamoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationAES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022
PublisherAudio Engineering Society
Pages660-663
Number of pages4
ISBN (Electronic)9781713855415
Publication statusPublished - 2022
EventAES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022 - The Hague, Virtual, Netherlands
Duration: May 16 2022May 19 2022

Publication series

NameAES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022

Conference

ConferenceAES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022
Country/TerritoryNetherlands
CityThe Hague, Virtual
Period5/16/225/19/22

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Modelling and Simulation
  • Acoustics and Ultrasonics

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