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Transfer learning helps to improve the accuracy to classify patients with different speech disorders in different languages., , , , , , and . Pattern Recognit. Lett., (2021)Dependency Analysis of Spoken Language for Assessment of Neurological Disorders., , , , , , , , and . RaPID@LREC, European Language Resources Association, (2020)Towards Disease-specific Speech Markers for Differential Diagnosis in Parkinsonism., , , and . ICASSP, page 5846-5850. IEEE, (2019)Convolutional Neural Networks and a Transfer Learning Strategy to Classify Parkinson's Disease from Speech in Three Different Languages., , , , , , and . CoRR, (2020)Automatic detection of parkinson's disease from words uttered in three different languages., , , , , , and . INTERSPEECH, page 1573-1577. ISCA, (2014)Automatic Evaluation of Articulatory Disorders in Parkinson's Disease., , , and . IEEE ACM Trans. Audio Speech Lang. Process., 22 (9): 1366-1378 (2014)Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages., , , , , , and . CoRR, (2023)Assessing clinical utility of machine learning and artificial intelligence approaches to analyze speech recordings in multiple sclerosis: A pilot study., , , , , , , , and . Comput. Biol. Medicine, (2022)Automated video-based assessment of facial bradykinesia in de-novo Parkinson's disease., , , , , and . npj Digit. Medicine, (2022)Bayesian changepoint detection for the automatic assessment of fluency and articulatory disorders., , , and . Speech Commun., 55 (1): 178-189 (2013)