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Αλέξανδρος Γ. Σφακιανάκης

Monday, November 30, 2020

Spatial Segmentation for Laryngeal High-Speed Videoendoscopy in Connected Speech

xlomafota13 shared this article with you from Inoreader
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.
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