A Deep Learning Approach for Quantifying Vocal Fold Dynamics During Connected Speech Using Laryngeal High-Speed Videoendoscopy.

RT @ASHAJournals: #JSLHR researchers propose a fully automated deep learning-hybrid approach for accurate glottis representation in high-sp…

#JSLHR researchers propose a fully automated deep learning-hybrid approach for accurate glottis representation in high-speed videoendoscopy during connected speech https://t.co/GBHtUxSVWK @SIGPerspectives #AcademicTwitter #slpeeps @speechwoman #slpeeps …

A Deep Learning Approach for Quantifying Vocal Fold Dynamics During Connected Speech Using Laryngeal High-Speed Videoendoscopy https://t.co/VdpdORjQYR https://t.co/V3WX3MDNUG