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Parkinson's Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech., , and . Cognitive Computation, 9 (6): 731-748 (2017)NeuroSpeech: An open-source software for Parkinson's speech analysis., , , , , , , , , and 6 other author(s). Digital Signal Processing, (2018)Phonation and Articulation Analyses in Laryngeal Pathologies, Cleft Lip and Palate, and Parkinson's Disease., , , and . IWINAC (2), volume 10338 of Lecture Notes in Computer Science, page 424-434. Springer, (2017)Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson's Disease., , , , and . TSD, volume 11107 of Lecture Notes in Computer Science, page 453-461. Springer, (2018)Multi-channel Convolutional Neural Networks for Automatic Detection of Speech Deficits in Cochlear Implant Users., , , , , and . CIARP, volume 11896 of Lecture Notes in Computer Science, page 679-687. Springer, (2019)Towards an automatic monitoring of the neurological state of Parkinson's patients from speech., , , , , , , and . ICASSP, page 6490-6494. IEEE, (2016)Effect of acoustic conditions on algorithms to detect Parkinson's disease from speech., , , , and . ICASSP, page 5065-5069. IEEE, (2017)Evaluation of wavelet measures on automatic detection of emotion in noisy and telephony speech signals., , , , , and . ICCST, page 1-6. IEEE, (2014)Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions., , , , , and . INTERSPEECH, page 105-109. ISCA, (2015)Characterisation of voice quality of Parkinson's disease using differential phonological posterior features., , , , , and . Computer Speech & Language, (2017)