Prof. Dr.-Ing. Elmar Nöth



Organisationseinheit


Professur für Informatik (Mustererkennung)



Projektleitung


(Training Network on Automatic Processing of PAthological Speech):
Modelling the progression of neurological diseases
Prof. Dr.-Ing. Elmar Nöth; Juan Vasquez Correa
(01.05.2018)

AUWL: Automatic Learner-Feedback-System
Prof. Dr.-Ing. Elmar Nöth
(01.07.2010 - 31.12.2011)


Publikationen (Download BibTeX)

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Vasquez Correa, J., Vargas-Bonilla, F., Nöth, E., Lopera, F., & Orozco Arroyave, J.R. (2019). Analysis and evaluation of handwriting in patients with Parkinson’s disease using kinematic, geometrical, and non-linear features. Computer Methods and Programs in Biomedicine, 173, 43-52. https://dx.doi.org/10.1016/j.cmpb.2019.03.005
Schröter, H., Nöth, E., Maier, A., Cheng, R., Barth, V., & Bergler, C. (2019). Segmentation, Classification, and Visualization of Orca Calls Using Deep Learning. In ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 8231-8235). Brighton, GB: IEEE.
Vasquez Correa, J., Arias Vergara, T., Orozco-Arroyave, J.R., & Nöth, E. (2018). A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease. In Proceedings of INTERSPEECH (pp. 456-460).
Klumpp, P., Fritsch, J.D., & Nöth, E. (2018). ANN-based Alzheimer’s disease classification from bag of words. In Speech Communication - 13. ITG-Fachtagung Sprachkommunikation.
Ferrer Riesgo, C.A., Haderlein, T., Maryn, Y., de Bodt, M., & Nöth, E. (2018). Collinearity and Sample Coverage Issues in the Objective Measurement of Vocal Quality: The Case of Roughness and Breathiness. Journal of Speech Language and Hearing Research, 61(1), 1-24. https://dx.doi.org/10.1044/2017_JSLHR-S-17-0136
Vasquez Correa, J., Arias Vergara, T., Rafael Orozco-Arroyave, J., Eskofier, B., Klucken, J., & Nöth, E. (2018). Multimodal assessment of Parkinson's disease: a deep learning approach. IEEE Journal of Biomedical and Health Informatics. https://dx.doi.org/10.1109/JBHI.2018.2866873
Garcia, N., Vasquez Correa, J., Arroyave, J.R.O., & Nöth, E. (2018). Multimodal i-vectors to Detect and Evaluate Parkinson's Disease. In Proceedings of INTERSPEECH (pp. 2349-2353).
Rafael Orozco-Arroyave, J., Vasquez Correa, J., Francisco Vargas-Bonilla, J., Arora, R., Dehak, N., Nidadavolu, P.S.,... Nöth, E. (2018). NeuroSpeech: An open-source software for Parkinson's speech analysis. Digital Signal Processing, 77(0), 207-221. https://dx.doi.org/10.1016/j.dsp.2017.07.004
Vasquez Correa, J., Garcia, N., Orozco-Arroyave, J.R., Cernak, M., & Nöth, E. (2018). Phonological posteriors and GRU recurrent units to assess speech impairments of patients with Parkinson’s disease. In Prof. Dr. Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (Eds.), Text, Speech, and Dialogue. (pp. 453-461). Springer Interational.
Arias Vergara, T., Vasquez Correa, J., Rafael Orozco-Arroyave, J., & Nöth, E. (2018). Speaker models for monitoring Parkinson’s disease progression considering different communication channels and acoustic conditions. Speech Communication, 101, 11-25. https://dx.doi.org/10.1016/j.specom.2018.05.007

Zuletzt aktualisiert 2016-05-05 um 05:03