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Gender-dependent GMM-UBM for tracking Parkinson's disease progression from speech.

, , , , , and . ITG Symposium on Speech Communication, page 1-5. IEEE, (2016)

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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)Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions., , , , , and . INTERSPEECH, page 105-109. ISCA, (2015)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)Speaker models for monitoring Parkinson's disease progression considering different communication channels and acoustic conditions., , , and . Speech Communication, (2018)Unobtrusive Monitoring of Speech Impairments of Parkinson'S Disease Patients Through Mobile Devices., , , , and . ICASSP, page 6004-6008. IEEE, (2018)Automatic Intelligibility Assessment of Parkinson's Disease with Diadochokinetic Exercises., , , , , and . WEA (2), volume 916 of Communications in Computer and Information Science, page 223-230. Springer, (2018)Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages., , , , , , and . CIARP, volume 11896 of Lecture Notes in Computer Science, page 697-706. Springer, (2019)Common Phone: A Multilingual Dataset for Robust Acoustic Modelling., , , , and . CoRR, (2022)Parkinson's Disease Progression Assessment from Speech Using GMM-UBM., , , , and . INTERSPEECH, page 1933-1937. ISCA, (2016)A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease., , , and . INTERSPEECH, page 456-460. ISCA, (2018)