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Journal of Voice : Official Journal of the Voice Foundation|February 11, 2023
Nyquist Plot Parametrization for Quantitative Analysis of Vibration of the Vocal FoldsTomás Arias-Vergara, Michael Döllinger, Tobias Schraut, et al.
The Journal of the Acoustical Society of America|January 19, 2024
Machine learning based estimation of hoarseness severity using sustained vowelsa)Tobias Schraut, Anne Schützenberger, Tomás Arias-Vergara, et al.
Plos One|May 2, 2024
Vowel onset measures and their reliability, sensitivity and specificity: A systematic literature reviewAntonia Margarita Chacon, Duy Duong Nguyen, John Holik, et al.
Journal of Voice : Official Journal of the Voice Foundation|November 13, 2024
Effects of Instructed Laryngeal Manipulation on Vocal Rise TimeMingxuan Sophie Bi, Duy Duong Nguyen, Tomás Arias-Vergara, et al.
Frontiers in Artificial Intelligence|June 20, 2025
Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopyTobias Schraut, Anne Schützenberger, Tomás Arias-Vergara, et al.
Journal of Speech, Language, and Hearing Research : JSLHR|November 23, 2022
Adult Cochlear Implant Users Versus Typical Hearing Persons: An Automatic Analysis of Acoustic-Prosodic ParametersTomás Arias-Vergara, Anton Batliner, Tobias Rader, et al.
Communications Medicine|September 25, 2024
Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speechSoroosh Tayebi Arasteh, Tomás Arias-Vergara, Paula Andrea Pérez-Toro, et al.
Movement Disorders : Official Journal of the Movement Disorder Society|August 14, 2021
Cognitive Determinants of Dysarthria in Parkinson's Disease: An Automated Machine Learning ApproachAdolfo M García, Tomás Arias-Vergara, Juan C Vasquez-Correa, et al.
Journal of Parkinson'S Disease|July 15, 2026
Digital profiling of dysarthria in late- and early-onset Parkinson's diseaseDaniel Escobar-Grisales, Maira Rozenfeld Olchik, Tomás Arias-Vergara, et al.
Interspeech|December 27, 2024
Contrastive Learning Approach for Assessment of Phonological Precision in Patients with Tongue Cancer Using MRI DataTomás Arias-Vergara, Paula Andrea Pérez-Toro, Xiaofeng Liu, et al.
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