Applications of automatic speech recognition and text-to-speech technologies for hearing assessment: a scoping review.
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 da...
| Publicado en: | International Journal of Audiology Vol. 64; no. 6; pp. 537 - 549 |
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| Autores principales: | , , , , , |
| Formato: | glossary research systematic review tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jun2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=185628499&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 185628499 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14992027 JW2 jtl: International Journal of Audiology issn: 14992027 maglogo: Y pubinfo: dt: Jun2025 vid: 64 iid: 6 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 185628499 180817796 185628499 185628499 10.1080/14992027.2024.2422390 185628499 ppf: 537 ppct: 12 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Applications of automatic speech recognition and text-to-speech technologies for hearing assessment: a scoping review. aug: au: Fatehifar, Mohsen Schlittenlacher, Josef Almufarrij, Ibrahim Wong, David Cootes, Tim Munro, Kevin J. affil: Manchester Centre for Audiology and Deafness (ManCAD), School of Health Sciences, University of Manchester, Manchester, UK sug: subj: Hearing Disorders Diagnosis Hearing Screening Automation Voice Recognition Systems Assistive Technology Hearing Aids Evaluation Human Funding Source Scoping Review PubMed Embase Speech Perception Noise Speech Reception Threshold Test Speech Intelligibility ab: 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. pubtype: Academic Journal doctype: glossary research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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