End-2-End Modeling of Speech and Gait from Patients with Parkinson’s Disease: Comparison Between High Quality Vs. Smartphone Data

Vasquez Correa J, Arias Vergara T, Klumpp P, Pérez Toro PA, Orozco-Arroyave JR, Nöth E (2021)

Publication Language: English

Publication Type: Conference contribution, Original article

Publication year: 2021

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 7298-7302

URI: https://ieeexplore.ieee.org/abstract/document/9414729

DOI: 10.1109/ICASSP39728.2021.9414729

Authors with CRIS profile

Juan Vasquez Correa Professur für Informatik (Mustererkennung) Tomás Arias Vergara Professur für Informatik (Mustererkennung) Philipp Klumpp Professur für Informatik (Mustererkennung) Paula Andrea Pérez Toro Professur für Informatik (Mustererkennung) Elmar Nöth Professur für Informatik (Mustererkennung)

Involved external institutions

Universidad de Antioquía (UDEA) CO Colombia (CO)

How to cite

APA:

Vasquez Correa, J., Arias Vergara, T., Klumpp, P., Pérez Toro, P.A., Orozco-Arroyave, J.R., & Nöth, E. (2021). End-2-End Modeling of Speech and Gait from Patients with Parkinson’s Disease: Comparison Between High Quality Vs. Smartphone Data. In Proceedings of the ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 7298-7302). Institute of Electrical and Electronics Engineers Inc..

MLA:

Vasquez Correa, Juan, et al. "End-2-End Modeling of Speech and Gait from Patients with Parkinson’s Disease: Comparison Between High Quality Vs. Smartphone Data." Proceedings of the ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Institute of Electrical and Electronics Engineers Inc., 2021. 7298-7302.

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