BACKGROUND: Listening to audible sound for medical diagnosis and monitoring spans health care professionals, physiologists, psychologists, and computer engineers. Artificial intelligence has advanced acoustic analysis in both voice/speech science and...
OBJECTIVES: This study aimed to develop and validate machine learning (ML) models for automated prediction of perceptual dysphonia severity, as indexed by the Grade (G) parameter of the GRBAS scale, using acoustic analyses of sustained vowels. The ov...
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