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Support Vector Machines Applied to the Detection of Voice Disorders.

, , , , , and . NOLISP, volume 3817 of Lecture Notes in Computer Science, page 219-230. Springer, (2005)

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Support Vector Machines Applied to the Detection of Voice Disorders., , , , , and . NOLISP, volume 3817 of Lecture Notes in Computer Science, page 219-230. Springer, (2005)Assessing an Application of Spontaneous Stressed Speech - Emotions Portal., , , , , , , , , and . IWINAC (1), volume 11486 of Lecture Notes in Computer Science, page 149-160. Springer, (2019)Computation meets neuroscience., , and . Neurocomputing, (2015)Time-frequency representations in speech perception., , , and . Neurocomputing, 72 (4-6): 820-830 (2009)A novel pre-processing technique in pathologic voice detection: Application to Parkinson's disease phonation., , , and . Biomed. Signal Process. Control., (2021)Characterizing Neurological Disease from Voice Quality Biomechanical Analysis., , , , , , , , and . Cogn. Comput., 5 (4): 399-425 (2013)Parkinson Disease Detection from Speech Articulation Neuromechanics., , , , , , , , , and 1 other author(s). Frontiers Neuroinformatics, (2017)Evaluating the Performance of Diadochokinetic Tests in Characterizing Parkinson's Disease Hypokinetic Dysarthria., , , and . BIOSTEC (Selected Papers), volume 1710 of Communications in Computer and Information Science, page 102-119. Springer, (2021)Performance of Monosyllabic vs Multisyllabic Diadochokinetic Exercises in Evaluating Parkinson's Disease Hypokinetic Dysarthria from Fluency Distributions., , , and . BIOSIGNALS, page 114-123. SCITEPRESS, (2021)Analysis of the impact of analogue telephone channel on MFCC parameters for voice pathology detection., , , , and . INTERSPEECH, page 1218-1221. ISCA, (2007)