The development of an automatic speech recognition model using interview data from long-term care for older adults

OBJECTIVE: In long-term care (LTC) for older adults, interviews are used to collect client perspectives that are often recorded and transcribed verbatim, which is a time-consuming, tedious task. Automatic speech recognition (ASR) could provide a solution; however, current ASR systems are not effecti...

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Detalles Bibliográficos
Autores principales: Hacking, Coen, Verbeek, Hilde, Hamers, Jan P H, Aarts, Sil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933064/
https://www.ncbi.nlm.nih.gov/pubmed/36495570
http://dx.doi.org/10.1093/jamia/ocac241

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9933064/
https://www.ncbi.nlm.nih.gov/pubmed/36495570
http://dx.doi.org/10.1093/jamia/ocac241

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