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Performance analysis of approximate Affine Projection Algorithm in acoustic feedback cancellation
Mohammad Nikjoo S1, Amir Seyedi, Arash Saber Tehrani
1Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON M5S 1A1, Canada. m.nikjoo@utoronto.ca
Summary
Adaptive feedback cancellation using approximated Affine Projection Algorithms (APA) shows promise for hearing aids. Performance was better with music than speech, suggesting potential for audio applications.
Area of Science:
- Audio Engineering
- Signal Processing
- Hearing Aid Technology
Background:
- Acoustic feedback is a significant issue in audio devices, particularly hearing aids.
- Adaptive feedback cancellation (AFC) techniques offer a promising solution to mitigate feedback problems.
- The approximated Affine Projection Algorithms (APA) are a class of AFC algorithms.
Purpose of the Study:
- To evaluate the performance of approximated Affine Projection Algorithms (APA) for acoustic feedback cancellation.
- To assess the effectiveness of APA in hearing aid applications under various feedback conditions.
Main Methods:
- Investigated the performance of approximated Affine Projection Algorithms (APA).
- Utilized natural speech and music data collected from five commercial hearing aids.
- Tested algorithms in both sub-oscillatory and oscillatory acoustic feedback scenarios.
Main Results:
- Mixed results were observed regarding the effectiveness of approximated APA.
- The algorithm demonstrated significantly better performance with music stimuli compared to natural speech.
- Performance varied across different feedback conditions and audio types.
Conclusions:
- Approximated APA shows potential for acoustic feedback cancellation in hearing aids.
- The algorithm's efficacy is dependent on the type of audio stimulus, performing better with music.
- Further research may be needed to optimize APA for natural speech in hearing aid applications.
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