Professur für Informatik (Mustererkennung)

Address:
Martensstraße 3
91058 Erlangen


Related Project(s)


(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)

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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
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.
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..
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
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
Arias Vergara, T., Vasquez Correa, J., Rafael Orozco-Arroyave, J., Klumpp, P., & Nöth, E. (2018). Unontrusive Monitoring of Speech Impairments of Parinson's Disease Patients Through Mobile Devices. In Proceedings of the 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6004-6008).
Arias Vergara, T., Vasquez Correa, J., Orozco Arroyave, J.R., Klumpp, P., & Nöth, E. (2018). Unobtrusive Monitoring of Speech Impairments of Parkinson's Disease Patients Through Mobile Devices. In Proceedings of the 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 (pp. 6004-6008). Institute of Electrical and Electronics Engineers Inc..
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
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.
Vasquez Correa, J., Orozco-Arroyave, J.R., Bocklet, T., & Nöth, E. (2018). Towards an automatic evaluation of the dysarthria level of patients with Parkinson's disease. Journal of Communication Disorders, 76(0), 21-36. https://dx.doi.org/10.1016/j.jcomdis.2018.08.002
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.
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).
Martindale, C., Hönig, F.T., Strohrmann, C., & Eskofier, B. (2017). Smart Annotation of Cyclic Data Using Hierarchical Hidden Markov Models. Sensors, 17(10). https://dx.doi.org/10.3390/s17102328
Haderlein, T., Schützenberger, A., Döllinger, M., & Nöth, E. (2017). Robust Automatic Evaluation of Intelligibility in Voice Rehabilitation Using Prosodic Analysis. In Proc. Text, Speech and Dialogue; 20th International Conference, TSD 2017 (pp. 11-19). Prague, Czech Republic: Cham, Switzerland: Springer International Publishing.
Sindran, F., Mualla, F., Haderlein, T., Daqrouq, K., & Nöth, E. (2017). Automatic Preparation of Standard Arabic Phonetically Rich Written Corpora with Different Linguistic Units. In Proc. Text, Speech and Dialogue; 20th International Conference, TSD 2017 (pp. 201-209). Prague, Czech Republic: Cham, Switzerland: Springer International Publishing.
Cernak, M., Rafael Orozco-Arroyave, J., Rudzicz, F., Christensen, H., Vasquez Correa, J., & Nöth, E. (2017). Characterization of voice quality of Parkinson's disease using differential phonological posterior features. Computer Speech and Language, 46(0), 196-208. https://dx.doi.org/10.1016/j.csl.2017.06.004
Vasquez Correa, J., Castrillon, R., Arias Vergara, T., Orozco Arroyave, J.R., & Nöth, E. (2017). Speaker model to monitor the neurological state and the dysarthria level of patients with parkinson’s disease. Springer Verlag.

Last updated on 2019-24-04 at 10:31