Performance analysis of approximate Affine Projection Algorithm in acoustic feedback cancellation.
Acoustic feedback is an annoying problem in several audio applications and especially in hearing aids. Adaptive feedback cancellation techniques have attracted recent attention and show great promise in reducing the deleterious effects of feedback. In this paper, we investigated the performance of a class of adaptive feedback cancellation algorithms viz. the approximated Affine Projection Algorithms (APA). Mixed results were obtained with the natural speech and music data collected from five different commercial hearing aids in a variety of sub-oscillatory and oscillatory feedback conditions. The performance of the approximated APA was significantly better with music stimuli than natural speech stimuli.
Nikjoo S
Mohammad
M
Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 1A1, Canada. m.nikjoo@utoronto.ca
Seyedi
Amir
A
Tehrani
Arash Saber
AS
D000465:Algorithms; D016477:Artifacts; D017076:Computer-Aided Design; D004867:Equipment Design; D019544:Equipment Failure Analysis; D005246:Feedback; D006310:Hearing Aids; D009622:Noise; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013018:Sound Spectrography / Q000379:methods*