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A robust howling detection algorithm based on a statistical approach

Abstract : This paper presents an algorithm for the detection of howlings that arise in audio signals. Our method is based on the combination of two energy-based features and one new feature related to the frequency stability of a howling component. The decision stage, which implies a Support Vector Machine (SVM) model, outputs a decision every 20 ms. The evaluation, carried out on a large database, showed that the algorithm is able to detect both pure and multiple tones howling in a wide range of energy. Furthermore, even on complex signals such as music, the detection is still efficient with very few false alarms.
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Contributor : Pascal Scalart <>
Submitted on : Tuesday, January 6, 2015 - 11:13:00 AM
Last modification on : Friday, March 6, 2020 - 1:24:23 AM


  • HAL Id : hal-01100273, version 1


Joachim Flocon-Cholet, Julien Faure, Alexandre Guérin, Pascal Scalart. A robust howling detection algorithm based on a statistical approach. International Workshop on Acoustic Signal Enhancement (IWAENC), Sep 2014, Antibes, France. ⟨hal-01100273⟩



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