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),

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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.
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, Dr 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
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

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
307829Quantum-Inspired Imaging for Remote Monitoring of Health & Disease in Community HealthcareJonathan CooperEngineering and Physical Sciences Research Council (EPSRC)EP/T021020/1ENG - Biomedical Engineering