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Parkinson's Disease Progression Assessment from Speech Using a Mobile Device-Based Application.

, , , , and . TSD, volume 10415 of Lecture Notes in Computer Science, page 371-379. Springer, (2017)

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Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection., , , , , , and . INTERSPEECH, page 529-532. ISCA, (2011)Analysis and Evaluation of Handwriting in Patients with Parkinson's Disease Using kinematic, Geometrical, and Non-linear Features., , , , , and . CoRR, (2020)Evaluation of effectiveness in conversations between humans and chatbots using parallel convolutional neural networks with multiple temporal resolutions., , and . Multim. Tools Appl., 83 (2): 5473-5492 (January 2024)Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing., , , , , , and . Speech Commun., (2022)Parkinson's Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech., , and . Cogn. Comput., 9 (6): 731-748 (2017)Representation learning strategies to model pathological speech: Effect of multiple spectral resolutions., , , and . Comput. Speech Lang., (April 2024)Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases., , , , , , , , and . IEEE J. Biomed. Health Informatics, 19 (6): 1820-1828 (2015)NeuroSpeech: An open-source software for Parkinson's speech analysis., , , , , , , , , and 6 other author(s). Digit. Signal Process., (2018)Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages., , , , , , and . CoRR, (2023)Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition., , , , , and . INTERSPEECH, page 51-55. ISCA, (2022)