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Multimodal Assessment of Parkinson's Disease: A Deep Learning Approach.

, , , , , and . IEEE J. Biomed. Health Informatics, 23 (4): 1618-1630 (2019)

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Comparison of User Models Based on GMM-UBM and I-Vectors for Speech, Handwriting, and Gait Assessment of Parkinson's Disease Patients., , , and . ICASSP, page 6544-6548. IEEE, (2020)Empirical Mode Decomposition articulation feature extraction on Parkinson's Diadochokinesia., , , , and . Comput. Speech Lang., (2022)Characterisation of voice quality of Parkinson's disease using differential phonological posterior features., , , , , and . Comput. Speech Lang., (2017)Representation Learning Strategies to Model Pathological Speech: Effect of Multiple Spectral Resolutions., , , and . CoRR, (2022)Time Dependent ARMA for Automatic Recognition of Fear-Type Emotions in Speech., , , , , and . TSD, volume 9302 of Lecture Notes in Computer Science, page 96-104. Springer, (2015)Gender-dependent GMM-UBM for tracking Parkinson's disease progression from speech., , , , , and . ITG Symposium on Speech Communication, page 1-5. IEEE, (2016)Emotion recognition from speech under environmental noise conditions using wavelet decomposition., , , , , and . ICCST, page 247-252. IEEE, (2015)End-2-End Modeling of Speech and Gait from Patients with Parkinson's Disease: Comparison Between High Quality Vs. Smartphone Data., , , , , and . ICASSP, page 7298-7302. IEEE, (2021)Transfer Learning to Detect Parkinson's Disease from Speech In Different Languages Using Convolutional Neural Networks with Layer Freezing., , , and . TDS, volume 12284 of Lecture Notes in Computer Science, page 331-339. Springer, (2020)Language Generalization Using Active Learning in the Context of Parkinson's Disease Classification., , , , , and . TSD, volume 14102 of Lecture Notes in Computer Science, page 349-359. Springer, (2023)