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

, , , , , , and . INTERSPEECH, page 95-99. ISCA, (2015)

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Voiced/unvoiced transitions in speech as a potential bio-marker to detect parkinson's disease., , , , , , and . INTERSPEECH, page 95-99. ISCA, (2015)Spectral and cepstral analyses for Parkinson's disease detection in Spanish vowels and words., , , , and . Expert Syst. J. Knowl. Eng., 32 (6): 688-697 (2015)On the Automatic Classification of Reading Disorders., , , , , , , and . PRIS, page 18-27. INSTICC PRESS, (2009)Towards Automated Assessment of Stuttering and Stuttering Therapy., , , and . TDS, volume 12284 of Lecture Notes in Computer Science, page 386-396. Springer, (2020)A language-independent feature set for the automatic evaluation of prosody., , , , , , , and . INTERSPEECH, page 600-603. ISCA, (2009)KSoF: The Kassel State of Fluency Dataset - A Therapy Centered Dataset of Stuttering., , , , and . LREC, page 1780-1787. European Language Resources Association, (2022)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)Towards an automatic monitoring of the neurological state of Parkinson's patients from speech., , , , , , , and . ICASSP, page 6490-6494. IEEE, (2016)The INTERSPEECH 2015 computational paralinguistics challenge: nativeness, parkinson's & eating condition., , , , , , , , and . INTERSPEECH, page 478-482. ISCA, (2015)Classifying Dementia in the Presence of Depression: A Cross-Corpus Study., , , , , , , , and . CoRR, (2023)