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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)

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Dependency Analysis of Spoken Language for Assessment of Neurological Disorders., , , , , , , , and . RaPID@LREC, European Language Resources Association, (2020)Unsupervised Morphological Segmentation for Detecting Parkinson's Disease., , , , , , , , and . AAAI Workshops, volume WS-18 of AAAI Technical Report, page 126-131. AAAI Press, (2018)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)Acoustic and perceptual analysis of vocal tremor., , , and . INTERSPEECH, page 2257-2261. ISCA, (2013)Towards an automatic monitoring of the neurological state of Parkinson's patients from speech., , , , , , , and . ICASSP, page 6490-6494. IEEE, (2016)Steadiness of syllable repetition in early motor stages of Parkinson's disease.. Biomed. Signal Process. Control., (2015)Automatic detection of parkinson's disease from words uttered in three different languages., , , , , , and . INTERSPEECH, page 1573-1577. ISCA, (2014)Acoustic analysis of speech as a promising instrument for monitoring and differential diagnosis of Parkinsons's disease.. MAVEBA, page 177-180. Firenze University Press / ISCA, (2011)Voiced/unvoiced transitions in speech as a potential bio-marker to detect parkinson's disease., , , , , , and . INTERSPEECH, page 95-99. ISCA, (2015)On the harmonic-to-noise ratio as an acoustic cue of vocal timbre of Parkinson speakers., , , , and . Biomed. Signal Process. Control., (2017)