Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson’s Disease Patients

Vasquez Correa J, Rios-Urrego CD, Rueda A, Orozco Arroyave JR, Krishnan S, Nöth E (2019)

Publication Type: Book chapter / Article in edited volumes

Publication year: 2019

Journal

Lecture Notes in Computer Science Springer Verlag

Publisher: Springer

Edited Volumes: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Series: Image Processing, Computer Vision, Pattern Recognition, and Graphics

City/Town: Cham

Book Volume: 11896

Pages Range: 688-696

ISBN: 9783030339036

DOI: 10.1007/978-3-030-33904-3_65

Authors with CRIS profile

Juan Vasquez Correa Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Juan Rafael Orozco Arroyave Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Elmar Nöth Professur für Informatik (Mustererkennung)

Involved external institutions

Toronto Metropolitan University / Ryerson University CA Canada (CA) Universidad de Antioquía (UDEA) CO Colombia (CO)

How to cite

APA:

Vasquez Correa, J., Rios-Urrego, C.D., Rueda, A., Orozco Arroyave, J.R., Krishnan, S., & Nöth, E. (2019). Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson’s Disease Patients. In Ingela Nyström, Yanio Hernández Heredia, Vladimir Milián Núñez (Eds.), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. (pp. 688-696). Cham: Springer.

MLA:

Vasquez Correa, Juan, et al. "Articulation and Empirical Mode Decomposition Features in Diadochokinetic Exercises for the Speech Assessment of Parkinson’s Disease Patients." Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. Ed. Ingela Nyström, Yanio Hernández Heredia, Vladimir Milián Núñez, Cham: Springer, 2019. 688-696.

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