Maximum Versoria-criterion (MVC)-based adaptive filtering method for mitigating acoustic feedback in hearing-aid devices. (October 2021)

• Record Type: Journal Article
• Authors: Akhtar, Muhammad Tahir; Albu, Felix; Nishihara, Akinori
• Is Part Of: Applied acoustics. Volume 181(2021)
• Publication Date: 2021-10
• Subjects: Acoustic feedback cancellation -- Hearing aids -- Adaptive filtering -- NLMS algorithm -- Modeling signal -- Maximum Versoria-criterion; Acoustical engineering -- Periodicals; Periodicals; 620.2
• DOI: 10.1016/j.apacoust.2021.108156
• Languages: English
• ISSNs: 0003-682X

Abstract

Highlights: Novel method for acoustic feedback cancellation in digital hearing aids. Two adaptive filters-based solution based on a hybrid adaptive filtering approach. Simulation results demonstrate for improved performance for short processing delay in (modern) hearing aids. 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.