End‐to‐end deep learning classification of vocal pathology using stacked vowels

OBJECTIVES: Advances in artificial intelligence (AI) technology have increased the feasibility of classifying voice disorders using voice recordings as a screening tool. This work develops upon previous models that take in single vowel recordings by analyzing multiple vowel recordings simultaneously...

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Detalles Bibliográficos
Autores principales: Liu, George S., Hodges, Jordan M., Yu, Jingzhi, Sung, C. Kwang, Erickson‐DiRenzo, Elizabeth, Doyle, Philip C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Laryngology, Speech and Language Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10601590/
https://www.ncbi.nlm.nih.gov/pubmed/37899847
http://dx.doi.org/10.1002/lio2.1144

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10601590/
https://www.ncbi.nlm.nih.gov/pubmed/37899847
http://dx.doi.org/10.1002/lio2.1144

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