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

Ahmed M YousefDimitar D DeliyskiStephanie R C ZachariasAlessandro de AlarconRobert F OrlikoffMaryam Naghibolhosseini
Published in: Journal of speech, language, and hearing research : JSLHR (2022)
https://doi.org/10.23641/asha.19798864.
Keyphrases
  • high speed
  • deep learning
  • atomic force microscopy
  • artificial intelligence
  • convolutional neural network
  • high resolution
  • machine learning