Using an Automated Speech Recognition Approach to Differentiate Between Normal and Aspirating Swallowing Sounds Recorded from Digital Cervical Auscultation in Children

Use of machine learning to accurately detect aspirating swallowing sounds in children is an evolving field. Previously reported classifiers for the detection of aspirating swallowing sounds in children have reported sensitivities between 79 and 89%. This study aimed to investigate the accuracy of us...

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Detalles Bibliográficos
Autores principales: Frakking, Thuy T., Chang, Anne B., Carty, Christopher, Newing, Jade, Weir, Kelly A., Schwerin, Belinda, So, Stephen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643257/
https://www.ncbi.nlm.nih.gov/pubmed/35092488
http://dx.doi.org/10.1007/s00455-022-10410-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643257/
https://www.ncbi.nlm.nih.gov/pubmed/35092488
http://dx.doi.org/10.1007/s00455-022-10410-y

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