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Estimating the Severity of Parkinson's Disease Using Voiced Ratio and Nonlinear Parameters.

, and . SLSP, volume 9918 of Lecture Notes in Computer Science, page 96-107. (2016)

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Speech Emotion Perception by Human and Machine., , and . COST 2102 Workshop (Patras), volume 5042 of Lecture Notes in Computer Science, page 213-224. Springer, (2007)Problems of the Automatic Emotion Recognitions in Spontaneous Speech; An Example for the Recognition in a Dispatcher Center., and . COST 2102 Training School, volume 6456 of Lecture Notes in Computer Science, page 331-339. Springer, (2010)Recognition of Emotions on the Basis of Different Levels of Speech Segments., and . J. Adv. Comput. Intell. Intell. Informatics, 16 (2): 335-340 (2012)Language Independent Detection Possibilities of Depression by Speech., , , , and . Recent Advances in Nonlinear Speech Processing, volume 48 of Smart Innovation, Systems and Technologies, Springer, (2016)Automatic estimation of severity of Parkinson's disease based on speech rhythm related features., , , and . CogInfoCom, page 11-16. IEEE, (2017)Deep Learning Methods in Speaker Recognition: A Review., , and . Period. Polytech. Electr. Eng. Comput. Sci., 65 (4): 310-328 (2021)Automatic Assessment of the Degree of Clinical Depression from Speech Using X-Vectors., , , and . ICASSP, page 8502-8506. IEEE, (2022)Examination of the sensitivity of acoustic-phonetic parameters of speech to depression., , and . CogInfoCom, page 511-515. IEEE, (2012)Articulation correctness measurement of Parkinson's disease using low resource-intensitve segmentation methods., , and . CogInfoCom, page 121-124. IEEE, (2020)Language independent automatic speech segmentation into phoneme-like units on the base of acoustic distinctive features., , and . CogInfoCom, page 579-582. IEEE, (2013)