Platform system to research howling cancelling algorithms of hearing Aids and deployment to an experiment system

2022 Fiscal Year Final Research Report

• Project/Area Number: 19K03043
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 09070:Educational technology-related
• Research Institution: Hachinohe National College of Technology
• Principal Investigator: Kudoh Norimasa 八戸工業高等専門学校, その他部局等, 教授 (40270194)
• Co-Investigator(Kenkyū-buntansha): 釜谷 博行 八戸工業高等専門学校, その他部局等, 教授 (70224657)
• Project Period (FY): 2019-04-01 – 2023-03-31
• Keywords: 計測工学 / 補聴器 / ハウリングキャンセラ / 教育工学

Outline of Final Research Achievements

In order to reduce howling of hearing aids, two different approaches, namely, (1) quasi-whitening input signals of adaptive algorithms, (2) C-LMS (correlation LMS) are known. In the former method, updating equation includes leakage integration to achieve faster convergence. Furthermore, IIR typed Notch filters are used to cope with unevenly frequency allocation. In the latter method, the state transition matrix of the adaptive algorithm is simplified to reduce computational complexity. Both methods can be controlled by GUI(graphical user interface).

Free Research Field

信号処理

Academic Significance and Societal Importance of the Research Achievements

補聴器の使用時や講演会，ライブ，テレビ会議システムでハウリングと呼ばれる発振現象が問題になっており，特に，補聴器は高齢者の生活の質の向上のため重要であり，高齢化に伴う使用者の増加から，そのハウリングを低減するハウリングキャンセラが強く期待される．