Prof. Dr.-Ing. Elmar Nöth



Organisation


Professur für Informatik (Mustererkennung)



Project lead


(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: Automatisches Lerner-Feedback-System
Prof. Dr.-Ing. Elmar Nöth
(01/07/2010 - 31/12/2011)

Automatische Analyse von Lautbildungsstörungen bei Kindern und Jugendlichen mit Lippen-Kiefer-Gaumenspalten (LKG)
Ulrich Eysholdt; Prof. Dr.-Ing. Andreas Maier; Prof. Dr.-Ing. Elmar Nöth
(01/04/2010 - 31/03/2013)


Publications (Download BibTeX)

Go to first page Go to previous page 1 of 29 Go to next page Go to last page

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
Fritsch, J., Wankerl, S., & Nöth, E. (2019). Automatic Diagnosis of Alzheimer's Disease Using Neural Network Language Models. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 5841-5845). Brighton, GBR: Institute of Electrical and Electronics Engineers Inc..
Bergler, C., Schröter, H., Cheng, R.X., Barth, V., Weber, M., Nöth, E.,... Maier, A. (2019). ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning. Scientific Reports, 9(1). https://dx.doi.org/10.1038/s41598-019-47335-w
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

Last updated on 2016-05-05 at 05:03