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Affine projection algorithm for acoustic feedback cancellation using prediction error method in hearing aids
- Source :
- IWAENC
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- Prediction error method (PEM) is popularly applied to acoustic feedback cancellation (AFC) in hearing aids. Commonly, this method uses normalized least mean square (NLMS) adaptive filter to estimate the coefficients of the real feedback path. A disadvantage of NLMS algorithm is to provide a slow convergence rate when coloured incoming signals are used. To address this problem, we propose a simple but effective way to apply an affine projection algorithm (APA) to acoustic feedback cancellation using PEM. Performance of the proposed method is evaluated for speech incoming signal in both cases of using/not using a probe noise. Simulation results show that the proposed method outperforms the PEM using NLMS in both terms of misalignment and added stable gain.
- Subjects :
- Acoustic feedback cancellation
Computer science
Speech recognition
020206 networking & telecommunications
02 engineering and technology
Signal
Affine projection algorithm
Adaptive filter
Least mean squares filter
030507 speech-language pathology & audiology
03 medical and health sciences
Noise
Computer Science::Sound
Path (graph theory)
0202 electrical engineering, electronic engineering, information engineering
Loudspeaker
0305 other medical science
Algorithm
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2016 IEEE International Workshop on Acoustic Signal Enhancement (IWAENC)
- Accession number :
- edsair.doi...........4e0030d725a27b35c03ca45bf0ba6fbc