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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)Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words., , , , и . Expert Syst. J. Knowl. Eng., 32 (6): 688-697 (2015)Towards Automated Assessment of Stuttering and Stuttering Therapy., , , и . TDS, том 12284 из Lecture Notes in Computer Science, стр. 386-396. Springer, (2020)On the Automatic Classification of Reading Disorders., , , , , , , и . PRIS, стр. 18-27. INSTICC PRESS, (2009)A language-independent feature set for the automatic evaluation of prosody., , , , , , , и . INTERSPEECH, стр. 600-603. ISCA, (2009)KSoF: The Kassel State of Fluency Dataset - A Therapy Centered Dataset of Stuttering., , , , и . LREC, стр. 1780-1787. European Language Resources Association, (2022)The INTERSPEECH 2015 computational paralinguistics challenge: nativeness, parkinson's & eating condition., , , , , , , , и . INTERSPEECH, стр. 478-482. ISCA, (2015)Classifying Dementia in the Presence of Depression: A Cross-Corpus Study., , , , , , , , и . CoRR, (2023)Automatic evaluation of characteristic speech disorders in children with cleft lip and palate., , , , и . INTERSPEECH, стр. 1757-1760. ISCA, (2008)Automatic detection of parkinson's disease from words uttered in three different languages., , , , , , и . INTERSPEECH, стр. 1573-1577. ISCA, (2014)