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

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

doi:10.1109/ICASSPW59220.2023.10193300

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

Alireza Nezamdoust
, Mandar Gogate^*
, Kia Dashtipour^*
, Amir Hussain^*
, Danilo Comminiello

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350302615
DOIs	https://doi.org/10.1109/ICASSPW59220.2023.10193300
State	Published - 2023
Externally published	Yes
Event	2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023 - Rhodes Island, Greece Duration: 4 Jun 2023 → 10 Jun 2023

Publication series

Name	ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings

Conference

Conference	2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023
Country/Territory	Greece
City	Rhodes Island
Period	4/06/23 → 10/06/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Feedback Cancellation
Frequency-Domain Adaptive Filters
Functional Link Adaptive Filters
Hearing Assistive Technologies
Speech Enhancement

ASJC Scopus subject areas

Computer Science Applications
Acoustics and Ultrasonics
Computer Networks and Communications
Information Systems
Signal Processing

Access to Document

10.1109/ICASSPW59220.2023.10193300

Cite this

Nezamdoust, A., Gogate, M., Dashtipour, K., Hussain, A., & Comminiello, D. (2023). Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids. In ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings (ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSPW59220.2023.10193300

Nezamdoust, Alireza ; Gogate, Mandar ; Dashtipour, Kia et al. / Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids. ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings).

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title = "Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids",

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.",

keywords = "Feedback Cancellation, Frequency-Domain Adaptive Filters, Functional Link Adaptive Filters, Hearing Assistive Technologies, Speech Enhancement",

author = "Alireza Nezamdoust and Mandar Gogate and Kia Dashtipour and Amir Hussain and Danilo Comminiello",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023 ; Conference date: 04-06-2023 Through 10-06-2023",

year = "2023",

doi = "10.1109/ICASSPW59220.2023.10193300",

language = "English",

series = "ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Nezamdoust, A, Gogate, M, Dashtipour, K, Hussain, A & Comminiello, D 2023, Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids. in ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings. ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings, Institute of Electrical and Electronics Engineers Inc., 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023, Rhodes Island, Greece, 4/06/23. https://doi.org/10.1109/ICASSPW59220.2023.10193300

Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids. / Nezamdoust, Alireza; Gogate, Mandar; Dashtipour, Kia et al.
ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids

AU - Nezamdoust, Alireza

AU - Gogate, Mandar

AU - Dashtipour, Kia

AU - Hussain, Amir

AU - Comminiello, Danilo

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Feedback Cancellation

KW - Frequency-Domain Adaptive Filters

KW - Functional Link Adaptive Filters

KW - Hearing Assistive Technologies

KW - Speech Enhancement

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U2 - 10.1109/ICASSPW59220.2023.10193300

DO - 10.1109/ICASSPW59220.2023.10193300

M3 - Conference contribution

AN - SCOPUS:85168253830

T3 - ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings

BT - ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023

Y2 - 4 June 2023 through 10 June 2023

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Nezamdoust A, Gogate M, Dashtipour K, Hussain A, Comminiello D. Frequency-Domain Functional Links For Nonlinear Feedback Cancellation In Hearing Aids. In ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. (ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings). doi: 10.1109/ICASSPW59220.2023.10193300

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this