Spatial Segmentation for Laryngeal High-Speed Videoendoscopy in Connected Speech

This study proposes a new computational framework for automated spatial segmentation of the vocal fold edges in high-speed videoendoscopy (HSV) data during connected speech. This spatio-temporal analytic representation of the vocal folds enables the HSV-based measurement of the glottal area waveform and other vibratory characteristics in the context of running speech.

Source: Journal of Voice - November 27, 2020 Category: ENT & OMF Authors: Ahmed M. Yousef, Dimitar D. Deliyski, Stephanie R.C. Zacharias, Alessandro de Alarcon, Robert F. Orlikoff, Maryam Naghibolhosseini Source Type: research