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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Ngā kaituhi matua:	Ahmed M. Yousef, Dimitar D. Deliyski, Stephanie R. C. Zacharias, Alessandro de Alarcon, Robert F. Orlikoff, Maryam Naghibolhosseini
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	MDPI AG 2021-01-01
Rangatū:	Applied Sciences
Ngā marau:	high-speed videoendoscopy connected speech automated machine-learning-based edge detection
Urunga tuihono:	https://www.mdpi.com/2076-3417/11/3/1179
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!