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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.
Author (s): Nophut, Marcel;
Hupke, Robert;
Preihs, Stephan;
Peissig, Jürgen;
Affiliation:
Leibniz Universität Hannover, Hannover, Germany
(See document for exact affiliation information.)
AES Convention: 145
Paper Number:10105
Publication Date:
2018-10-06
Session subject:
Acoustics and Live Sound
DOI:
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Nophut, Marcel; Hupke, Robert; Preihs, Stephan; Peissig, Jürgen; 2018; Advancements in Propagation Delay Estimation of Acoustic Signals in an Audience Service for Live Events [PDF]; Leibniz Universität Hannover, Hannover, Germany; Paper 10105; Available from: https://aes.org/publications/elibrary-page/?id=19831
Nophut, Marcel; Hupke, Robert; Preihs, Stephan; Peissig, Jürgen; Advancements in Propagation Delay Estimation of Acoustic Signals in an Audience Service for Live Events [PDF]; Leibniz Universität Hannover, Hannover, Germany; Paper 10105; 2018 Available: https://aes.org/publications/elibrary-page/?id=19831
@inproceedings{Nophut2018advancements,
title={{Advancements in Propagation Delay Estimation of Acoustic Signals in an Audience Service for Live Events}},
author={Nophut, Marcel and Hupke, Robert and Preihs, Stephan and Peissig, Jürgen},
year={2018},
month={oct},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 10105; AES Convention 145; October 2018},
number={10105},
organization={AES},
}
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