Neural network-based estimation of biomechanical vocal fold parameters

Neural network-based estimation of biomechanical vocal fold parameters

Vocal fold (VF) vibrations are the primary source of human phonation. High-speed video (HSV) endoscopy enables the computation of descriptive VF parameters for assessment of physiological properties of laryngeal dynamics, i.e., the vibration of the VFs. However, underlying biomechanical factors resp...

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Bibliographic Details
Main Authors: Jonas Donhauser, Bogac Tur, Michael Döllinger
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Physiology
Subjects:
convolutional recurrent neural network
high-speed video
mass–spring–damper system
vocal fold dynamics
voice physiology
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2024.1282574/full

Internet

https://www.frontiersin.org/articles/10.3389/fphys.2024.1282574/full

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