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Improving hearing-aid gains based on automatic speech recognition

Published:2020-09 Issue:3 Volume:148 Page:EL227-EL233
ISSN:0001-4966
Container-title:The Journal of the Acoustical Society of America
language:en
Short-container-title:The Journal of the Acoustical Society of America

Author:

Fontan Lionel¹^ORCID,Le Coz Maxime¹,Azzopardi Charlotte²,Stone Michael A.³^ORCID,Füllgrabe Christian⁴^ORCID

Affiliation:

1. Archean LABS, 20 place Prax-Paris, 82000 Montauban, France

2. Ecole d'Audioprothèse de Cahors, Université Toulouse III Paul Sabatier, 31062 Toulouse, France

3. Manchester Centre for Audiology and Deafness, School of Health Sciences, University of Manchester, Oxford Road, Manchester, M139PL, United Kingdom

4. School of Sport, Exercise and Health Sciences, Ashby Road, Loughborough University, Loughborough LE11 3TU, United Kingdom, , , ,

Publisher

Acoustical Society of America (ASA)

Subject

Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)

Link

http://asa.scitation.org/doi/pdf/10.1121/10.0001866

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Die Zukunft der Hörgerätetechnologie;Zeitschrift für Gerontologie und Geriatrie;2023-04-27

2. Intelligent speech technologies for transcription, disease diagnosis, and medical equipment interactive control in smart hospitals: A review;Computers in Biology and Medicine;2023-02

3. ASR-based speech intelligibility prediction: A review;Hearing Research;2022-12

4. Exploring Manipulating In-VR Audio To Facilitate Verbal Interactions Between VR Users And Bystanders;Proceedings of the 2022 International Conference on Advanced Visual Interfaces;2022-06-06

5. Using Automatic Speech Recognition to Optimize Hearing-Aid Time Constants;Frontiers in Neuroscience;2022-03-17

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