Paper Info
Title
Howling detection in hearing aids using Discrete Energy Separation Algorithm-2 and Generalized Teager-Kaiser Operator
Abstract
Howling is one of the most annoying consequences of the acoustical coupling in hearing aids. In this paper, a method of howling detection is proposed applying Discrete Energy Separation Algorithm-2 (DESA-2) and Generalized Teager-Kaiser Operator (GTKO). Several GTKOs with various resolution parameters monitor the input signal to recognize the howling occurrence while DESA-2 is used to estimate the howling frequency. Performance of the proposed method is compared with two known howling detection approaches, i.e. Peak-to-Harmonic Power Ratio (PHPR) and Adaptive Notch Filter (ANF). Simulation results show the advantage of the proposed method in terms of having lower false detection and shorter detection time.
Year
DOI
Venue
2014
10.1109/ICASSP.2014.6855200
Acoustics, Speech and Signal Processing
Keywords
Field
DocType
hearing aids,notch filters,signal detection,signal resolution,DESA-2,acoustical coupling,adaptive notch filter,discrete energy separation algorithm-2,generalized Teager-Kaiser operator,hearing aids,howling detection,howling frequency estimation,peak-to-harmonic power ratio,Hearing aid,Teager-Kaiser operator,discrete energy separation,howling detection
Band-stop filter,False detection,Coupling,Power ratio,Hearing aid,Computer science,Speech recognition,Separation algorithm,Operator (computer programming)
Conference
ISSN
Citations 
PageRank 
1520-6149
2
0.39
References 
Authors
8
3
Name
Order
Citations
PageRank
Soudeh A. Khoubrouy1174.19
Issa M. S. Panahi24914.53
Nasser D. Kehtarnavaz353466.02