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Natural Language Analysis to Detect Parkinson's Disease.

P. Pérez-Toro, J. Vásquez-Correa, M. Strauss, J. Orozco-Arroyave, and E. Nöth. TSD, volume 11697 of Lecture Notes in Computer Science, page 82-90. Springer, (2019)

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Luis Orozco University of Stuttgart

Juan Vargas University of Stuttgart

Rafael Sendek University of Stuttgart

Rafael Horn University of Stuttgart

Rafael Jarosch

Other publications of authors with the same name

Phonological Posteriors and GRU Recurrent Units to Assess Speech Impairments of Patients with Parkinson's Disease.J. Vásquez-Correa, N. García-Ospina, J. Orozco-Arroyave, M. Cernak, and E. Nöth. TSD, volume 11107 of Lecture Notes in Computer Science, page 453-461. Springer, (2018)Automatic Detection of Parkinson's Disease in Reverberant Environments.J. Orozco-Arroyave, T. Haderlein, and E. Nöth. TSD, volume 9302 of Lecture Notes in Computer Science, page 80-87. Springer, (2015)Automatic Detection of Parkinson's Disease from Compressed Speech Recordings.J. Orozco-Arroyave, N. García, J. Vargas-Bonilla, and E. Nöth. TSD, volume 9302 of Lecture Notes in Computer Science, page 88-95. Springer, (2015)The INTERSPEECH 2015 Computational Paralinguistics Challenge: Nativeness, Parkinson's & Eating ConditionB. Schuller, S. Steidl, A. Batliner, S. Hantke, F. Hönig, J. Orozco-Arroyave, E. Nöth, Y. Zhang, and F. Weninger. Sixteenth Annual Conference of the International Speech Communication Association, (2015)Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases.J. Orozco-Arroyave, E. Belalcázar-Bolaños, J. Arias-Londoño, J. Vargas-Bonilla, S. Skodda, J. Rusz, K. Daqrouq, F. Hönig, and E. Nöth. IEEE J. Biomedical and Health Informatics, 19 (6): 1820-1828 (2015)Phonation and Articulation Analyses in Laryngeal Pathologies, Cleft Lip and Palate, and Parkinson's Disease.J. Jiménez-Monsalve, J. Vásquez-Correa, J. Orozco-Arroyave, and P. Vilda. IWINAC (2), volume 10338 of Lecture Notes in Computer Science, page 424-434. Springer, (2017)Degree of Parkinson's disease severity estimation based on speech signal processing.Z. Galaz, Z. Mzourek, J. Mekyska, Z. Smékal, T. Kiska, I. Rektorová, J. Orozco-Arroyave, and K. Daoudi. TSP, page 503-506. IEEE, (2016)Parkinson's Disease and Aging: Analysis of Their Effect in Phonation and Articulation of Speech.T. Arias-Vergara, J. Vásquez-Correa, and J. Orozco-Arroyave. Cognitive Computation, 9 (6): 731-748 (2017)Automatic Selection of Acoustic and Non-Linear Dynamic Features in Voice Signals for Hypernasality Detection.J. Orozco-Arroyave, S. Rendón, A. Álvarez-Meza, J. Arias-Londoño, E. Delgado-Trejos, J. Vargas-Bonilla, and C. Castellanos-Domínguez. INTERSPEECH, page 529-532. ISCA, (2011)Automatic detection of parkinson's disease from continuous speech recorded in non-controlled noise conditions.J. Vásquez-Correa, T. Arias-Vergara, J. Orozco-Arroyave, J. Vargas-Bonilla, J. Arias-Londoño, and E. Nöth. INTERSPEECH, page 105-109. ISCA, (2015)