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TO. VA. Waterschoot, and M. Moonen, "Comparative Evaluation of Howling Detection Criteria in Notch-Filter-Based Howling Suppression," J. Audio Eng. Soc., vol. 58, no. 11, pp. 923-940, (2010 November.). doi: TO. VA. Waterschoot, and M. Moonen, "Comparative Evaluation of Howling Detection Criteria in Notch-Filter-Based Howling Suppression," J. Audio Eng. Soc., vol. 58 Issue 11 pp. 923-940, (2010 November.). doi:
Abstract: 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.

@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},
number={11},
pages={923-940},
doi={},
month={november},} @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},
number={11},
pages={923-940},
doi={},
month={november},
abstract={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.},}

TY - paper
TI - Comparative Evaluation of Howling Detection Criteria in Notch-Filter-Based Howling Suppression
SP - 923 EP - 940
AU - Waterschoot, Toon van
AU - Moonen, Marc
PY - 2010
JO - Journal of the Audio Engineering Society
IS - 11
VO - 58
VL - 58
Y1 - November 2010 TY - paper
TI - Comparative Evaluation of Howling Detection Criteria in Notch-Filter-Based Howling Suppression
SP - 923 EP - 940
AU - Waterschoot, Toon van
AU - Moonen, Marc
PY - 2010
JO - Journal of the Audio Engineering Society
IS - 11
VO - 58
VL - 58
Y1 - November 2010
AB - 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.