Applause detection filter design for remote live-viewing with adaptive modeling filter
×
Cite This
Citation & Abstract
K. Kawahara, M. Karakawa, A. Omoto, and Y. Kamamoto, "Applause detection filter design for remote live-viewing with adaptive modeling filter," Engineering Brief 675, (2022 May.). doi:
K. Kawahara, M. Karakawa, A. Omoto, and Y. Kamamoto, "Applause detection filter design for remote live-viewing with adaptive modeling filter," Engineering Brief 675, (2022 May.). doi:
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.
@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},
volume={},
number={},
pages={},
doi={},
month={may},}
@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},
volume={},
number={},
pages={},
doi={},
month={may},
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.},}
TY - paper
TI - Applause detection filter design for remote live-viewing with adaptive modeling filter
SP -
EP -
AU - Kawahara, Kazuhiko
AU - Karakawa, Masahiro
AU - Omoto, Akira
AU - Kamamoto, Yutaka
PY - 2022
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2022
TY - paper
TI - Applause detection filter design for remote live-viewing with adaptive modeling filter
SP -
EP -
AU - Kawahara, Kazuhiko
AU - Karakawa, Masahiro
AU - Omoto, Akira
AU - Kamamoto, Yutaka
PY - 2022
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2022
AB - 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.
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.
The Engineering Briefs at this Convention were
selected on the basis of a submitted synopsis,
ensuring that they are of interest to AES members,
and are not overly commercial. These briefs have
been reproduced from the authors' advance
manuscripts, without editing, corrections, or
consideration by the Review Board. The AES takes no
responsibility for their contents. Paper copies are
not available, but any member can freely access
these briefs. Members are encouraged to provide
comments that enhance their usefulness.
