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Dimitar D. Deliyski

University of South Carolina
Michigan State University

60

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1665

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A Hybrid Machine-Learning-Based Method for Analytic Representation of the Vocal Fold Edges during Connected Speech

2021 Applied Sciences
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Remotely collecting immediate voice production effects of semi-occluded vocal tract exercises

2021 Journal of the Acoustical Society of America
- David S. Ford
- Dimitar D. Deliyski
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Method for Horizontal Calibration of Laser-Projection Transnasal Fiberoptic High-Speed Videoendoscopy

2021 Applied Sciences
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Laryngeal Image Processing of Vocal Folds Motion

2020 Applied Sciences
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Quantitative Analysis of Vocal Fold Vibration using High-Speed Videoendoscopy in Children with and without Bilateral Lesions

2020 Journal of Voice
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Laser-Calibrated System for Transnasal Fiberoptic Laryngeal High-Speed Videoendoscopy

2019 Journal of Voice
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Efficacy of Videostroboscopy and High-Speed Videoendoscopy to Obtain Functional Outcomes From Perioperative Ratings in Patients With Vocal Fold Mass Lesions

2019 Journal of Voice
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Recommended Protocols for Instrumental Assessment of Voice: American Speech-Language-Hearing Association Expert Panel to Develop a Protocol for Instrumental Assessment of Vocal Function

2018 American Journal of Speech-language Pathology
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Studying vocal fold non-stationary behavior during connected speech using high-speed videoendoscopy

2018 Journal of the Acoustical Society of America
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Efficacy of Six Tasks to Clear Laryngeal Mucus Aggregation

2017 Journal of Voice
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