Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids

Nezamdoust, Alireza; Gogate, Mandar; Dashtipour, Kia; Hussain, Amir; Comminiello, Danilo

Abstract

The problem of feedback cancellation can be seen as a function approximation task, which often is nonlinear in real-world hearing assistive technologies. Nonlinear methods adopted for this task must exhibit outstanding modeling performance and reduced computational cost. To this end, in this paper, we propose a functional link adaptive filter tailored for the problem of feedback cancellation in hearing aids. The proposed model involves an adaptive exponential nonlinear expansion to better model speech signals, and a partitioned-block frequency-domain adaptation to reduce the computational cost and allow for online processing. Experimental results prove the effectiveness of the proposed method in hearing assistive problems.

Citation

Nezamdoust, A., Gogate, M., Dashtipour, K., Hussain, A., & Comminiello, D. (2023, June). Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids. Presented at 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
• Start Date: Jun 4, 2023
• End Date: Jun 10, 2023
• Online Publication Date: Aug 2, 2023
• Publication Date: 2023
• Deposit Date: May 21, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Book Title: 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)
• DOI: https://doi.org/10.1109/ICASSPW59220.2023.10193300