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Daryush D Mehta

Showing results (61-70 of 100) with videos related to

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Applied Sciences (Basel, Switzerland)|May 8, 2020
Toward Development of a Vocal Fold Contact Pressure Probe: Sensor Characterization and Validation Using Synthetic Vocal Fold ModelsMohsen Motie-Shirazi, Matías Zañartu, Sean D Peterson, et al.
Journal of Voice : Official Journal of the Voice Foundation|July 13, 2020
Automated Relative Fundamental Frequency Algorithms for Use With Neck-Surface Accelerometer SignalsMatti D Groll, Jennifer M Vojtech, Surbhi Hablani, et al.
IEEE Transactions on Bio-Medical Engineering|September 22, 2015
Corrections to "Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results For Vocal Fold Nodules"Marzyeh Ghassemi, Jarrad H Van Stan, Daryush D Mehta, et al.
Applied Sciences (Basel, Switzerland)|April 17, 2023
Acoustic Voice and Speech Biomarkers of Treatment Status during Hospitalization for Acute Decompensated Heart FailureOlivia M Murton, G William Dec, Robert E Hillman, et al.
American Journal of Speech-Language Pathology|October 19, 2021
Psychometric Analysis of an Ecological Vocal Effort Scale in Individuals With and Without Vocal Hyperfunction During Activities of Daily LivingKatherine L Marks, Alessandra Verdi, Laura E Toles, et al.
Journal of Voice : Official Journal of the Voice Foundation|August 7, 2019
Laser-Calibrated System for Transnasal Fiberoptic Laryngeal High-Speed VideoendoscopyDimitar D Deliyski, Milen Shishkov, Daryush D Mehta, et al.
American Journal of Speech-Language Pathology|January 27, 2017
Integration of Motor Learning Principles Into Real-Time Ambulatory Voice Biofeedback and Example Implementation Via a Clinical Case Study With Vocal Fold NodulesJarrad H Van Stan, Daryush D Mehta, Robert J Petit, et al.
IEEE Transactions on Bio-Medical Engineering|May 22, 2014
Learning to detect vocal hyperfunction from ambulatory neck-surface acceleration features: initial results for vocal fold nodulesMarzyeh Ghassemi, Jarrad H Van Stan, Daryush D Mehta, et al.
Journal of Voice : Official Journal of the Voice Foundation|April 22, 2019
Efficacy of Videostroboscopy and High-Speed Videoendoscopy to Obtain Functional Outcomes From Perioperative Ratings in Patients With Vocal Fold Mass LesionsMaria E Powell, Dimitar D Deliyski, Steven M Zeitels, et al.
The Journal of the Acoustical Society of America|August 3, 2019
Automatic speech and singing classification in ambulatory recordings for normal and disordered voicesAndrew J Ortiz, Laura E Toles, Katherine L Marks, et al.
Pageof 10

Showing results (61-70 of 100) with videos related to

Sort By:
Pageof 10
Applied Sciences (Basel, Switzerland)|May 8, 2020
Toward Development of a Vocal Fold Contact Pressure Probe: Sensor Characterization and Validation Using Synthetic Vocal Fold ModelsMohsen Motie-Shirazi, Matías Zañartu, Sean D Peterson, et al.
Journal of Voice : Official Journal of the Voice Foundation|July 13, 2020
Automated Relative Fundamental Frequency Algorithms for Use With Neck-Surface Accelerometer SignalsMatti D Groll, Jennifer M Vojtech, Surbhi Hablani, et al.
IEEE Transactions on Bio-Medical Engineering|September 22, 2015
Corrections to "Learning to Detect Vocal Hyperfunction From Ambulatory Neck-Surface Acceleration Features: Initial Results For Vocal Fold Nodules"Marzyeh Ghassemi, Jarrad H Van Stan, Daryush D Mehta, et al.
Applied Sciences (Basel, Switzerland)|April 17, 2023
Acoustic Voice and Speech Biomarkers of Treatment Status during Hospitalization for Acute Decompensated Heart FailureOlivia M Murton, G William Dec, Robert E Hillman, et al.
American Journal of Speech-Language Pathology|October 19, 2021
Psychometric Analysis of an Ecological Vocal Effort Scale in Individuals With and Without Vocal Hyperfunction During Activities of Daily LivingKatherine L Marks, Alessandra Verdi, Laura E Toles, et al.
Journal of Voice : Official Journal of the Voice Foundation|August 7, 2019
Laser-Calibrated System for Transnasal Fiberoptic Laryngeal High-Speed VideoendoscopyDimitar D Deliyski, Milen Shishkov, Daryush D Mehta, et al.
American Journal of Speech-Language Pathology|January 27, 2017
Integration of Motor Learning Principles Into Real-Time Ambulatory Voice Biofeedback and Example Implementation Via a Clinical Case Study With Vocal Fold NodulesJarrad H Van Stan, Daryush D Mehta, Robert J Petit, et al.
IEEE Transactions on Bio-Medical Engineering|May 22, 2014
Learning to detect vocal hyperfunction from ambulatory neck-surface acceleration features: initial results for vocal fold nodulesMarzyeh Ghassemi, Jarrad H Van Stan, Daryush D Mehta, et al.
Journal of Voice : Official Journal of the Voice Foundation|April 22, 2019
Efficacy of Videostroboscopy and High-Speed Videoendoscopy to Obtain Functional Outcomes From Perioperative Ratings in Patients With Vocal Fold Mass LesionsMaria E Powell, Dimitar D Deliyski, Steven M Zeitels, et al.
The Journal of the Acoustical Society of America|August 3, 2019
Automatic speech and singing classification in ambulatory recordings for normal and disordered voicesAndrew J Ortiz, Laura E Toles, Katherine L Marks, et al.
Pageof 10