Maximum Versoria-criterion (MVC)-based adaptive filtering method for mitigating acoustic feedback in hearing-aid devices
Akhtar M.T. Albu F. Nishihara A.
October 2021Elsevier Ltd
Applied Acoustics
2021#181
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.
Acoustic feedback cancellation , Adaptive filtering , Hearing aids , Maximum Versoria-criterion , Modeling signal , NLMS algorithm
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Department of Electrical and Computer Engineering, School of Engineering and Digital Sciences, Nazarbayev University, Kabanbay Batyr Ave. 53, Nur-Sultan, 010000, Kazakhstan
Department of Electronics, Valahia University of Targoviste, Targoviste, 130082, Romania
Tokyo Institute of Technology, Ookayama, 152-8552, Meguro-ku, Tokyo, Japan
Department of Electrical and Computer Engineering
Department of Electronics
Tokyo Institute of Technology
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