Title
Combined Feedback and Noise Suppression in Hearing Aids
Abstract
In this paper, solutions for combined feedback and noise suppression in hearing aids are developed. The techniques presented are based on the generalized sidelobe canceller (GSC) and adaptive feedback canceller (AFC), with a prediction error method (PEM) adaptation to avoid speech distortion. Two possible cascades of GSC-based noise reduction and AFC, namely an ldquoAFC firstrdquo and a ldquoGSC first,rdquo as well as a truly integrated solution that jointly suppresses feedback and noise are discussed. The integrated solution (called PEM-GFIC) achieves optimum synergies between noise and feedback suppression at the lowest computational cost. In addition, it cancels more feedback than the generalized echo and interference canceller, a joint solution for echo and noise suppression. In the cascaded solutions, the feedback and noise suppression filters are not always optimally exploited. For high input SNRs, ldquoAFC firstrdquo scheme generally may achieve better feedback cancellation because of its larger number of degrees of freedom. However, noise reduction by the GSC-stage seriously affects the feedback cancellation performance. At low SNRs, ldquoGSC firstrdquo generally achieves more feedback cancellation than PEM-GFIC at the expense of worse noise reduction. At high hearing aid gains and/or large SNRs, the noise reduction stage however negatively affects the performance of the feedback cancellation filter, resulting in a worse feedback and noise suppression compared to PEM-GFIC.
Year
DOI
Venue
2007
10.1109/TASL.2007.896670
Audio, Speech, and Language Processing, IEEE Transactions
Keywords
Field
DocType
acoustic noise,acoustic signal processing,hearing aids,adaptive feedback canceller,feedback suppression,generalized echo canceller,generalized sidelobe canceller,hearing aids,interference canceller,noise reduction,noise suppression,prediction error method,speech distortion,worse noise reduction,Feedback cancellation,generalized sidelobe canceller,hearing aids,noise reduction
Noise,Noise reduction,Signal processing,Hearing aid,Computer science,Signal-to-noise ratio,Audio feedback,Speech recognition,Loudspeaker,Computational complexity theory
Journal
Volume
Issue
ISSN
15
6
1558-7916
Citations 
PageRank 
References 
6
0.50
14
Authors
4
Name
Order
Citations
PageRank
Ann Spriet125722.60
Geert Rombouts216714.46
Marc Moonen33673326.91
Jan Wouters428329.54