Fatehifar, Mohsen;
Schlittenlacher, Josef;
Almufarrij, Ibrahim;
Wong, David;
Cootes, Tim;
Munro, Kevin J;
(2024)
Applications of automatic speech recognition and text-to-speech technologies for hearing assessment: a scoping review.
International Journal of Audiology
10.1080/14992027.2024.2422390.
(In press).
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Abstract
Objective: Exploring applications of automatic speech recognition and text-to-speech technologies in hearing assessment and evaluations of hearing aids.// Design: Review protocol was registered at the INPLASY database and was performed following the PRISMA scoping review guidelines. A search in ten databases was conducted in January 2023 and updated in June 2024.// Study sample: Studies that used automatic speech recognition or text-to-speech to assess measures of hearing ability (e.g. speech reception threshold), or to configure hearing aids were retrieved. Of the 2942 records found, 28 met the inclusion criteria.// Results: The results indicated that text-to-speech could effectively replace recorded stimuli in speech intelligibility tests, requiring less effort for experimenters, without negatively impacting outcomes (n = 5). Automatic speech recognition captured verbal responses accurately, allowing for reliable speech reception threshold measurements without human supervision (n = 7). Moreover, automatic speech recognition was employed to simulate participants’ hearing, with high correlations between simulated and empirical data (n = 14). Finally, automatic speech recognition was used to optimise hearing aid configurations, leading to higher speech intelligibility for wearers compared to the original configuration (n = 3).// Conclusions: There is the potential for automatic speech recognition and text-to-speech systems to enhance accessibility of, and efficiency in, hearing assessments, offering unsupervised testing options, and facilitating hearing aid personalisation.
| Type: | Article |
|---|---|
| Title: | Applications of automatic speech recognition and text-to-speech technologies for hearing assessment: a scoping review |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1080/14992027.2024.2422390 |
| Publisher version: | https://doi.org/10.1080/14992027.2024.2422390 |
| Language: | English |
| Additional information: | © 2024 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent. |
| Keywords: | Automatic speech recognition, hearing assessment, hearing test, hearing aid, hearing in noise test, speech in noise, text to speech |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > Div of Psychology and Lang Sciences > Speech, Hearing and Phonetic Sciences |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10199992 |
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