Studying vocal fold non-stationary behavior during connected speech using high-speed videoendoscopy-Reference-Cited by-同舟云学术

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Studying vocal fold non-stationary behavior during connected speech using high-speed videoendoscopy

Published:2018-09 Issue:3 Volume:144 Page:1766-1766
ISSN:0001-4966
Container-title:The Journal of the Acoustical Society of America
language:en
Short-container-title:The Journal of the Acoustical Society of America

Author:

Naghibolhosseini Maryam¹,Deliyski Dimitar¹,Zacharias Stephanie²,de Alarcon Alessandro³,Orlikoff Robert⁴

Affiliation:

1. Communicative Sci. and Disord., Michigan State Univ., 1026 Red Cedar Rd., East Lansing, MI 48824,

2. Laryngotracheal Regeneration Lab, Mayo Clinic, Phoenix, AZ

3. Div. of Pediatric Otolaryngol., Cincinnati Children’s Hospital Medical Ctr., Cincinnati, OH

4. College of Allied Health Sci., East Carolina Univ., Greenville, NC

Publisher

Acoustical Society of America (ASA)

Subject

Acoustics and Ultrasonics,Arts and Humanities (miscellaneous)

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Supraglottic Laryngeal Maneuvers in Adductor Laryngeal Dystonia During Connected Speech;Journal of Voice;2024-08

2. Deep Learning for High-Speed Laryngeal Imaging Analysis;2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE);2023-03-09

3. Laryngeal Imaging Study of Glottal Attack/Offset Time in Adductor Spasmodic Dysphonia during Connected Speech;Applied Sciences;2023-02-25

4. Optimal Deep Learning-Based Vocal Fold Disorder Detection and Classification Model on High-Speed Video Endoscopy;Journal of Healthcare Engineering;2022-10-17

5. Deep-Learning-Based Representation of Vocal Fold Dynamics in Adductor Spasmodic Dysphonia during Connected Speech in High-Speed Videoendoscopy;Journal of Voice;2022-09

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