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Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions.

, , , , , и . INTERSPEECH, стр. 105-109. ISCA, (2015)

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Juan Solache Orozco

Rafael Macián-Juan

Gerardo Orozco

Hsiao-Mei Juan

Alexander Juan

 

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Analysis and Evaluation of Handwriting in Patients with Parkinson's Disease Using kinematic, Geometrical, and Non-linear Features., , , , , и . CoRR, (2020)Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection., , , , , , и . INTERSPEECH, стр. 529-532. ISCA, (2011)NeuroSpeech: An open-source software for Parkinson's speech analysis., , , , , , , , , и 6 other автор(ы). Digit. Signal Process., (2018)Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing., , , , , , и . Speech Commun., (2022)Evaluation of effectiveness in conversations between humans and chatbots using parallel convolutional neural networks with multiple temporal resolutions., , и . Multim. Tools Appl., 83 (2): 5473-5492 (января 2024)Representation learning strategies to model pathological speech: Effect of multiple spectral resolutions., , , и . Comput. Speech Lang., (апреля 2024)Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages., , , , , , и . CoRR, (2023)Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases., , , , , , , , и . IEEE J. Biomed. Health Informatics, 19 (6): 1820-1828 (2015)Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition., , , , , и . INTERSPEECH, стр. 51-55. ISCA, (2022)Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions., , , , , и . INTERSPEECH, стр. 105-109. ISCA, (2015)