Maximum Versoria-criterion (MVC)-based adaptive filtering method for mitigating acoustic feedback in hearing-aid devices

Muhammad Tahir Akhtar; Felix Albu; Akinori Nishihara

doi:10.1016/j.apacoust.2021.108156

Maximum Versoria-criterion (MVC)-based adaptive filtering method for mitigating acoustic feedback in hearing-aid devices

Muhammad Tahir Akhtar
, Felix Albu
, Akinori Nishihara

Valahia University of Targoviste
Tokyo Institute of Technology

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Abstract

In any digital hearing aid (HAid), the input microphone and the receiver loudspeaker are closely located. Furthermore, HAid cannot be tightly fitted for comfort reasons. Therefore, it is almost impossible to avoid the acoustic feedback present due to the leakage path between the receiver loudspeaker and the input microphone. This paper investigates acoustic feedback cancellation (AFC) by developing a hybrid adaptive filtering approach. It is proposed to use two simultaneously adapted adaptive filters as in the previous method. The adaptation algorithms are based on a delay-based normalized least mean square (NLMS) algorithm. Furthermore, gradient information from a maximum Versoria-criterion (MVC)-based algorithm is also incorporated in the proposed approach. The effectiveness of this approach is demonstrated through extensive computer simulations.

Original language	English
Article number	108156
Journal	Applied Acoustics
Volume	181
DOIs	https://doi.org/10.1016/j.apacoust.2021.108156
Publication status	Published - Oct 2021

Funding

This research has been funded from the Faculty Development Competitive Research Grants Program of Nazarbayev University under the Grant No. 110119FD4525.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Acoustic feedback cancellation
Adaptive filtering
Hearing aids
Maximum Versoria-criterion
Modeling signal
NLMS algorithm

ASJC Scopus subject areas

Acoustics and Ultrasonics

Access to Document

10.1016/j.apacoust.2021.108156

Cite this

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title = "Maximum Versoria-criterion (MVC)-based adaptive filtering method for mitigating acoustic feedback in hearing-aid devices",

abstract = "In any digital hearing aid (HAid), the input microphone and the receiver loudspeaker are closely located. Furthermore, HAid cannot be tightly fitted for comfort reasons. Therefore, it is almost impossible to avoid the acoustic feedback present due to the leakage path between the receiver loudspeaker and the input microphone. This paper investigates acoustic feedback cancellation (AFC) by developing a hybrid adaptive filtering approach. It is proposed to use two simultaneously adapted adaptive filters as in the previous method. The adaptation algorithms are based on a delay-based normalized least mean square (NLMS) algorithm. Furthermore, gradient information from a maximum Versoria-criterion (MVC)-based algorithm is also incorporated in the proposed approach. The effectiveness of this approach is demonstrated through extensive computer simulations.",

keywords = "Acoustic feedback cancellation, Adaptive filtering, Hearing aids, Maximum Versoria-criterion, Modeling signal, NLMS algorithm",

author = "Akhtar, \{Muhammad Tahir\} and Felix Albu and Akinori Nishihara",

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AU - Akhtar, Muhammad Tahir

AU - Albu, Felix

AU - Nishihara, Akinori

N1 - Funding Information: This research has been funded from the Faculty Development Competitive Research Grants Program of Nazarbayev University under the Grant No. 110119FD4525. Publisher Copyright: © 2021 The Author(s)

PY - 2021/10

Y1 - 2021/10

N2 - In any digital hearing aid (HAid), the input microphone and the receiver loudspeaker are closely located. Furthermore, HAid cannot be tightly fitted for comfort reasons. Therefore, it is almost impossible to avoid the acoustic feedback present due to the leakage path between the receiver loudspeaker and the input microphone. This paper investigates acoustic feedback cancellation (AFC) by developing a hybrid adaptive filtering approach. It is proposed to use two simultaneously adapted adaptive filters as in the previous method. The adaptation algorithms are based on a delay-based normalized least mean square (NLMS) algorithm. Furthermore, gradient information from a maximum Versoria-criterion (MVC)-based algorithm is also incorporated in the proposed approach. The effectiveness of this approach is demonstrated through extensive computer simulations.

AB - In any digital hearing aid (HAid), the input microphone and the receiver loudspeaker are closely located. Furthermore, HAid cannot be tightly fitted for comfort reasons. Therefore, it is almost impossible to avoid the acoustic feedback present due to the leakage path between the receiver loudspeaker and the input microphone. This paper investigates acoustic feedback cancellation (AFC) by developing a hybrid adaptive filtering approach. It is proposed to use two simultaneously adapted adaptive filters as in the previous method. The adaptation algorithms are based on a delay-based normalized least mean square (NLMS) algorithm. Furthermore, gradient information from a maximum Versoria-criterion (MVC)-based algorithm is also incorporated in the proposed approach. The effectiveness of this approach is demonstrated through extensive computer simulations.

KW - Acoustic feedback cancellation

KW - Adaptive filtering

KW - Hearing aids

KW - Maximum Versoria-criterion

KW - Modeling signal

KW - NLMS algorithm

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UR - https://www.scopus.com/pages/publications/85107782598#tab=citedBy

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DO - 10.1016/j.apacoust.2021.108156

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Maximum Versoria-criterion (MVC)-based adaptive filtering method for mitigating acoustic feedback in hearing-aid devices

Abstract

Funding

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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