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Title
Japanese: 
English:Maximum Versoria-Criterion (MVC)-based Adaptive Filtering Method for Mitigating Acoustic Feedback in Hearing-Aid Devices 
Author
Japanese: AKHTAR MUHAMMAD TAHIR, Felix Albu, 西原明法.  
English: Muhammad Tahir Akhtar, Felix Albu, AKINORI NISHIHARA.  
Language English 
Journal/Book name
Japanese: 
English:Applied Acoustics 
Volume, Number, Page        
Published date Oct. 2021 
Publisher
Japanese: 
English:Elsevier 
Conference name
Japanese: 
English: 
Conference site
Japanese: 
English: 
Official URL https://www.sciencedirect.com/science/article/pii/S0003682X21002504
 
DOI https://doi.org/10.1016/j.apacoust.2021.108156
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.

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