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

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

Abstract 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 simult...

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Bibliographic Details
Main Authors: George S. Liu, Jordan M. Hodges, Jingzhi Yu, C. Kwang Sung, Elizabeth Erickson‐DiRenzo, Philip C. Doyle
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:Laryngoscope Investigative Otolaryngology
Subjects:
artificial intelligence
deep learning
voice classification
voice disorders
voice pathology
Online Access:https://doi.org/10.1002/lio2.1144

Internet

https://doi.org/10.1002/lio2.1144

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