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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)Time-frequency representations in speech perception., , , and . Neurocomputing, 72 (4-6): 820-830 (2009)Computation meets neuroscience., , and . Neurocomputing, (2015)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)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)Diagnosis of Vocal and Voice Disorders by the Speech Signal., , and . IJCNN (4), page 253-258. IEEE Computer Society, (2000)0-7695-0619-4.Parkinson Disease Detection from Speech Articulation Neuromechanics., , , , , , , , , and 1 other author(s). Frontiers Neuroinformatics, (2017)Assessing a Set of Glottal Features from Vocal Fold Biomechanics., and . Recent Advances in Nonlinear Speech Processing, volume 48 of Smart Innovation, Systems and Technologies, Springer, (2016)Characterizing Masseter Surface Electromyography on EEG-Related Frequency Bands in Parkinson's Disease Neuromotor Dysarthria., , , and . IWINAC (1), volume 13258 of Lecture Notes in Computer Science, page 219-228. Springer, (2022)