Towards AI-assisted RF hearing aids

Abbasi, Q. H. , Tang, C., Ghadban, N., Hameed, H., Usman, M., Hussain, A. and Imran, M. A. (2023) Towards AI-assisted RF hearing aids. ENT and Audiology News, 32(2),

Abstract

The development of effective hearing-assistive devices is essential as the prevalence of deafness grows with an ageing population. Where can AI support speech understanding? A team from the University of Glasgow discusses how lip‑reading hearing aids could be the future.

• Item Type: Articles
• Additional Information: This work was supported in parts by Engineering and Physical Sciences Research Council (EPSRC) grants EP/T021020/1 and EP/T021063/1 and by the RSE SAPHIRE grant.
• Status: Published
• Refereed: No
• Glasgow Author(s) Enlighten ID: Hameed, Mrs Hira and Imran, Professor Muhammad and Usman, Dr Muhammad and Ghadban, Dr Nour and Tang, Mr Chong and Abbasi, Professor Qammer
• Authors: Abbasi, Q. H., Tang, C., Ghadban, N., Hameed, H., Usman, M., Hussain, A., and Imran, M. A.
• College/School: College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity; College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
• Journal Name: ENT and Audiology News
• Publisher: Pinpoint Scotland Ltd
• ISSN: 2042-2156
• Copyright Holders: Copyright © © 2023 Copyright held by the owner/author(s).
• First Published: First published in ENT and Audiology News 32(2)
• Publisher Policy: Reproduced with the permission of the publisher

Project Code	Award No	Project Name	Principal Investigator	Funder's Name	Funder Ref	Lead Dept
307829		Quantum-Inspired Imaging for Remote Monitoring of Health & Disease in Community Healthcare	Jonathan Cooper	Engineering and Physical Sciences Research Council (EPSRC)	EP/T021020/1	ENG - Biomedical Engineering