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Different concepts for reducing sibilants in recorded speech have been developed and have been successfully implemented as `De-Esser` hardware. Most of them are working in the analog domain, only a few implementations using adaptive mechanisms. Therefore a digital algorithm is introduced which basically uses psychoacoustic and physical units to detect sibilancy and to adapt a time-variant bandpass filter to perform the de-esser operation.
Author (s): Wolters, Martin;
Sapp, Markus;
Becker-Schweitzer, Jörg;
Affiliation:
TELOS Systems, Cleveland, OH ; Institute of Communication Engineering Aachen University of Technology, Aachen, Germany
(See document for exact affiliation information.)
AES Convention: 104
Paper Number:4677
Publication Date:
1998-05-06
Session subject:
Signal Processing
DOI:
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Wolters, Martin; Sapp, Markus; Becker-Schweitzer, Jörg; 1998; Adaptive Algorithm for Detecting and Reducing Sibilants in Recorded Speech [PDF]; TELOS Systems, Cleveland, OH ; Institute of Communication Engineering Aachen University of Technology, Aachen, Germany; Paper 4677; Available from: https://aes.org/publications/elibrary-page/?id=8503
Wolters, Martin; Sapp, Markus; Becker-Schweitzer, Jörg; Adaptive Algorithm for Detecting and Reducing Sibilants in Recorded Speech [PDF]; TELOS Systems, Cleveland, OH ; Institute of Communication Engineering Aachen University of Technology, Aachen, Germany; Paper 4677; 1998 Available: https://aes.org/publications/elibrary-page/?id=8503
@inproceedings{Wolters1998adaptive,
title={{Adaptive Algorithm for Detecting and Reducing Sibilants in Recorded Speech}},
author={Wolters, Martin and Sapp, Markus and Becker-Schweitzer, Jörg},
year={1998},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 4677; AES Convention 104; May 1998},
number={4677},
organization={AES},
}
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