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

Kazuhiko Kawhara, Masahiro Karakawa, Akira Omoto, Yutaka Kamamoto

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

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.

本文言語英語
ホスト出版物のタイトルAES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022
出版社Audio Engineering Society
ページ660-663
ページ数4
ISBN(電子版)9781713855415
出版ステータス出版済み - 2022
イベントAES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022 - The Hague, Virtual, オランダ
継続期間: 5月 16 20225月 19 2022

出版物シリーズ

名前AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022

会議

会議AES Europe Spring 2022 - 152nd Audio Engineering Society Convention 2022
国/地域オランダ
CityThe Hague, Virtual
Period5/16/225/19/22

!!!All Science Journal Classification (ASJC) codes

  • 電子工学および電気工学
  • モデリングとシミュレーション
  • 音響学および超音波学

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