AES E-Library

Comparative Evaluation of Howling Detection Criteria in Notch-Filter-Based Howling Suppression

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.

Authors: Waterschoot, Toon van; Moonen, Marc
Affiliation: Department of Electrical Engineering, ESAT-SCD, Katholieke Universiteit, Leuven, Belgium
JAES Volume 58 Issue 11 pp. 923-940; November 2010 Import into BibTeX

Click to purchase paper or login as an AES member. If your company or school subscribes to the AES Journal then you can look for this paper in the institutional version of the Online Journal. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD JAES58)   /jaes58/11/pg923.pdf

Start a discussion about this paper!