A Hybrid Machine-Learning-Based Method for Analytic Representation of the Vocal Fold Edges during Connected Speech

Investigating the phonatory processes in connected speech from high-speed videoendoscopy (HSV) demands the accurate detection of the vocal fold edges during vibration. The present paper proposes a new spatio-temporal technique to automatically segment vocal fold edges in HSV data during running spee...

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Autores principales:	Ahmed M. Yousef, Dimitar D. Deliyski, Stephanie R. C. Zacharias, Alessandro de Alarcon, Robert F. Orlikoff, Maryam Naghibolhosseini
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2021-01-01
Colección:	Applied Sciences
Materias:	high-speed videoendoscopy connected speech automated machine-learning-based edge detection
Acceso en línea:	https://www.mdpi.com/2076-3417/11/3/1179
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