Band-limited feedback cancellation with a modified filtered-X LMS algorithm for hearing aids

Authors:
Hsiang-Feng Chi;Shawn X. Gao;Sigfrid D. Soli;Abeer Alwan
Affiliations:
Virata Corporation, 2700 San Tomas Expressway, Santa Clara, CA;House Ear Institute, 2100 W. 3rd street, Los Angeles, CA;House Ear Institute. 2100 W. 3rd street. Los Angeles. CA;Department of Electrical Engineering, University of California, Los Angeles, CA
Venue:
Speech Communication - Special issue on speech processing for hearing aids
Year:
2003

Citing 5
Cited 1

Adaptive signal processing

Adaptive signal processing
Adaptive filter theory (2nd ed.)

Adaptive filter theory (2nd ed.)
Adaptive feedback cancellation for hearing aids: theories, algorithms, computations, and systems

Adaptive feedback cancellation for hearing aids: theories, algorithms, computations, and systems
Bias analysis in continuous adaptation systems for hearing aids

ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Bias of feedback cancellation algorithms based on direct closed loop identification

ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02

Increase and subjective evaluation of feedback stability in hearing aids by a binaural coherence-based noise reduction scheme

IEEE Transactions on Audio, Speech, and Language Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Commonly used wideband adaptive feedback cancellation techniques do not provide satisfactory performance for reducing feedback oscillation in hearing aids. In this paper, a band-limited adaptive feedback cancellation algorithm using normalized filtered-X LMS techniques is proposed that provides good cancellation efficiency, convergence behavior and better output sound quality for speech signals, when compared to the wideband approach. Convergence analysis and computer simulations illustrate the advantages of the proposed approach.