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Voiced/unvoiced transitions in speech as a potential bio-marker to detect parkinson's disease.

, , , , , , и . INTERSPEECH, стр. 95-99. ISCA, (2015)

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Elmar Nöth

Elmar Nöth

Elmar Nöth

Ludwig Nöth

Stefan Nöth

 

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Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing., , , , , , и . Speech Commun., (2022)Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages., , , , , , и . CoRR, (2023)NeuroSpeech: An open-source software for Parkinson's speech analysis., , , , , , , , , и 6 other автор(ы). Digit. Signal Process., (2018)Representation learning strategies to model pathological speech: Effect of multiple spectral resolutions., , , и . Comput. Speech Lang., (апреля 2024)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)CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss., , , , , , , , и . INTERSPEECH, стр. 1959-1960. ISCA, (2022)Disentangled Latent Speech Representation for Automatic Pathological Intelligibility Assessment., , , , , , и . INTERSPEECH, стр. 4815-4819. ISCA, (2022)Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions., , , , , и . INTERSPEECH, стр. 105-109. ISCA, (2015)Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition., , , , , и . INTERSPEECH, стр. 51-55. ISCA, (2022)A microphone-independent visualization technique for speech disorders., , , , и . INTERSPEECH, стр. 951-954. ISCA, (2009)