M. Nophut, R. Hupke, S. Preihs, and J. Peissig, “Advancements in Propagation Delay Estimation of Acoustic Signals in an Audience Service for Live Events,” in Proc. AES Convention 145, Oct. 2018, Paper 10105. [Online]. Available: https://aes.org/publications/elibrary-page/?id=19831
Nophut M, Hupke R, Preihs S, Peissig J. Advancements in Propagation Delay Estimation of Acoustic Signals in an Audience Service for Live Events. In: AES Convention 145. Audio Engineering Society; 2018. Paper 10105. Available from: https://aes.org/publications/elibrary-page/?id=19831
@inproceedings{Nophut2018_19831,
author = {Nophut, Marcel and Hupke, Robert and Preihs, Stephan and Peissig, Jürgen},
title = {{Advancements in Propagation Delay Estimation of Acoustic Signals in an Audience Service for Live Events}},
booktitle = {AES Convention 145},
note = {Paper 10105},
year = {2018},
month = oct,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=19831}
}
TY - CPAPER
TI - Advancements in Propagation Delay Estimation of Acoustic Signals in an Audience Service for Live Events
AU - Nophut, Marcel
AU - Hupke, Robert
AU - Preihs, Stephan
AU - Peissig, Jürgen
T2 - AES Convention 145
M1 - Paper 10105
PY - 2018
DA - 2018/10/06
UR - https://aes.org/publications/elibrary-page/?id=19831
PB - Audio Engineering Society
LA - en
AB - In the course of the project PMSE-xG an audience service for live events – the Assistive Live Listening Service – was developed. The service uses supplementary augmented audio content presented through transparent headphones to enhance the traditional audio playback of a PA loudspeaker system. Augmented audio content and ambient sound are temporally aligned by the service. This paper proposes signal processing techniques to improve existing methods for estimating the propagation delay of acoustic signals in strongly reverberant environments. These refined methods aim to reduce the computational costs and allow the service to keep track of moving listeners. The proposed methods are evaluated based on realistic recordings of music and speech samples.
ER -