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Acoustic feedback in sound reinforcing systems is often solved using a notch-filter-based howling suppression technique that depends on having an accurate means of detecting feedback. Many detection algorithms that are based on a single criterion have an unacceptable high false–positive rate when used for music. By combining multiple detection criteria, a novel algorithm reduced the false alarm rate from as high as 33% to as low as 3%. Careful adjustment of various thresholds in the algorithm is required to maximize sound quality. This study provides a unifying framework for evaluating howling detection.
Author (s): Waterschoot, Toon van; Moonen, Marc
Affiliation:
Department of Electrical Engineering, ESAT-SCD, Katholieke Universiteit, Leuven, Belgium
(See document for exact affiliation information.)
Publication Date:
2010-11-06
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Waterschoot, Toon van; Moonen, Marc; 2010; Comparative Evaluation of Howling Detection Criteria in Notch-Filter-Based Howling Suppression [PDF]; Department of Electrical Engineering, ESAT-SCD, Katholieke Universiteit, Leuven, Belgium; Paper ; Available from: https://aes2.org/publications/elibrary-page/?id=15738
Waterschoot, Toon van; Moonen, Marc; Comparative Evaluation of Howling Detection Criteria in Notch-Filter-Based Howling Suppression [PDF]; Department of Electrical Engineering, ESAT-SCD, Katholieke Universiteit, Leuven, Belgium; Paper ; 2010 Available: https://aes2.org/publications/elibrary-page/?id=15738
@article{waterschoot2010comparative,
author={waterschoot toon van and moonen marc},
journal={journal of the audio engineering society},
title={comparative evaluation of howling detection criteria in notch-filter-based howling suppression},
year={2010},
volume={58},
issue={11},
pages={923-940},
month={december},}