A Deep Learning Approach for Quantifying Vocal Fold Dynamics During Connected Speech Using Laryngeal High-Speed Videoendoscopy
Published 2022 View Full Article
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Title
A Deep Learning Approach for Quantifying Vocal Fold Dynamics During Connected Speech Using Laryngeal High-Speed Videoendoscopy
Authors
Keywords
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Journal
JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH
Volume -, Issue -, Pages 1-16
Publisher
American Speech Language Hearing Association
Online
2022-05-24
DOI
10.1044/2022_jslhr-21-00540
References
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Note: Only part of the references are listed.- Detection of Vocal Fold Image Obstructions in High-Speed Videoendoscopy During Connected Speech in Adductor Spasmodic Dysphonia: A Convolutional Neural Networks Approach
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