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.

 

Author (s):
Affiliation: (See document for exact affiliation information.)
Publication Date:
Permalink: https://aes2.org/publications/elibrary-page/?id=15738


(1228KB)


Download Now

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member Join the AES. If you need to check your member status, login to the Member Portal.

Type:
E-Libary location:
16938
Choose your country of residence from this list:










Skip to content