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The Influence of Dataset Partitioning on Dysfluency Detection Systems.

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Elmar Nöth

Elmar Nöth

Elmar Nöth

Stefan Nöth

Ludwig 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)NeuroSpeech: An open-source software for Parkinson's speech analysis., , , , , , , , , и 6 other автор(ы). Digit. Signal Process., (2018)Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages., , , , , , и . CoRR, (2023)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)Automatic pronunciation scoring of words and sentences independent from the non-native's first language., , , , и . Comput. Speech Lang., 23 (1): 65-88 (2009)Analysis and Evaluation of Handwriting in Patients with Parkinson's Disease Using kinematic, Geometrical, and Non-linear Features., , , , , и . CoRR, (2020)A microphone-independent visualization technique for speech disorders., , , , и . INTERSPEECH, стр. 951-954. ISCA, (2009)The INTERSPEECH 2019 Computational Paralinguistics Challenge: Styrian Dialects, Continuous Sleepiness, Baby Sounds & Orca Activity., , , , , , , , , и 8 other автор(ы). INTERSPEECH, стр. 2378-2382. ISCA, (2019)Apkinson: A Mobile Solution for Multimodal Assessment of Patients with Parkinson's Disease., , , , , , , , , и 5 other автор(ы). INTERSPEECH, стр. 964-965. ISCA, (2019)