Professur für Informatik (Mustererkennung)

Address:
Martensstraße 3
91058 Erlangen


Related Project(s)


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



Publications (Download BibTeX)

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Martindale, C., Hönig, F., 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
Evert, S., Wankerl, S., & Nöth, E. (2017). Reliable measures of syntactic and lexical complexity: The case of Iris Murdoch. Paper presentation, Birmingham, GB.
Orozco-Arroyave, J.R., Hönig, F., Arias-Londoño, J.D., Vargas-Bonilla, J.F., Daqrouq, K., Skodda, S.,... Nöth, E. (2016). Automatic detection of Parkinson's disease in running speech spoken in three different languages. The Journal of the Acoustical Society of America, 139(1), 481. https://dx.doi.org/10.1121/1.4939739
Vásquez-Correa, J., Orozco-Arroyave, J.R., Arias-Londoño, J.D., Vargas-Bonilla, J.F., & Nöth, E. (2016). Non-linear dynamics characterization fromwavelet packet transform for automatic recognition of emotional speech. Springer Science and Business Media Deutschland GmbH.
Wankerl, S., Nöth, E., & Evert, S. (2016). An Analysis of Perplexity to Reveal the Effects of Alzheimer's Disease on Language. In ITG-Fachbericht 267: Speech Communication (pp. 254-259). Paderborn, Germany.
Rafael Orozco-Arroyave, J., Alexander Belalcazar-Bolanos, E., David Arias-Londono, J., Francisco Vargas-Bonilla, J., Skodda, S., Rusz, J.,... Nöth, E. (2015). Characterization Methods for the Detection of Multiple Voice Disorders: Neurological, Functional, and Laryngeal Diseases. IEEE Journal of Biomedical and Health Informatics, 19(6), 1820-1828. https://dx.doi.org/10.1109/JBHI.2015.2467375
Vasquez-Correa, J.C., Orozco-Arroyave, J.R., Arias-Londono, J.D., Vargas-Bonilla, J.F., Avendano, L.D., & Nöth, E. (2015). Time Dependent ARMA for Automatic Recognition of Fear-Type Emotions in Speech. (pp. 96-104). Springer-verlag.
Lustyk, T., Bergl, P., Haderlein, T., Nöth, E., & Cmejla, R. (2015). Language-independent method for analysis of German stuttering recordings. In 16th Annual Conference of the International Speech Communication Association (pp. 2947-2951). Dresden, Germany, DE.
Schuller, B., Steidl, S., Batliner, A., Hantke, S., Hönig, F., Orozco Arroyave, J.,... Weninger, F. (2015). The INTERSPEECH 2015 computational paralinguistics challenge: Nativeness, Parkinson's & eating condition. (pp. 478-482). International Speech and Communication Association.
Haderlein, T., Middag, C., Hönig, F., Martens, J.-P., Döllinger, M., Schützenberger, A., & Nöth, E. (2015). Language-Independent Age Estimation from Speech Using Phonological and Phonemic Features. (pp. 165-173). Springer-verlag.
Hönig, F., Batliner, A., & Nöth, E. (2015). How Many Speakers, How Many Texts - The Automatic Assessment of Non-Native Prosody. In Workshop on Speech and Language Technology in Education (pp. 1-4). Leipzig, Germany, DE.
Vasquez-Correa, J.C., Garcia, N., Orozco-Arroyave, J.R., Arias-Londono, J.D., Vargas-Bonilla, J.F., & Nöth, E. (2015). Emotion Recognition from Speech under Environmental Noise Conditions using Wavelet Decomposition. (pp. 247-252).
Haderlein, T., Schwemmle, C., Döllinger, M., Matoušek, V., Ptok, M., & Nöth, E. (2015). Automatic Evaluation of Voice Quality Using Text-Based Laryngograph Measurements and Prosodic Analysis. Computational and Mathematical Methods in Medicine, 2015(0), 11 pages. https://dx.doi.org/10.1155/2015/316325
Villa-Cañas, T., Arias-Londoño, J.D., Orozco-Arroyave, J.R., Vargas-Bonilla, J.F., & Nöth, E. (2015). Low-frequency components analysis in running speech for the automatic detection of Parkinson's disease. (pp. 100-104). International Speech and Communication Association.
Sindran, F., Mualla, F., Bobzin, K., & Nöth, E. (2015). Automatic Robust Rule-Based Phonetization of Standard Arabic. (pp. 442-451). Springer-verlag.
Kaufhold, A.C., Gamidov, V., Kiessling, A., Reinhard, K., & Nöth, E. (2015). PATSY - It's all about pronunciation! (pp. 1068-1069). International Speech and Communication Association.
Orozco-Arroyave, J.R., Haderlein, T., & Nöth, E. (2015). Automatic Detection of Parkinson's Disease in Reverberant Environments. (pp. 80-87). Springer-verlag.
Vásquez-Correa, J.C., Arias-Vergara, T., Orozco-Arroyave, J.R., Vargas-Bonilla, J.F., Arias-Londoño, J.D., & Nöth, E. (2015). Automatic detection of Parkinson's disease from continuous speech recorded in non-controlled noise conditions. (pp. 105-109). International Speech and Communication Association.
Orozco Arroyave, J., Garcia, N., Vargas-Bonilla, J.F., & Nöth, E. (2015). Automatic Detection of Parkinson's Disease from Compressed Speech Recordings. (pp. 88-95). Springer-verlag.
Haderlein, T., Hönig, F., Jassens, F., Mahlberg, L., Nöth, E., & Wolff von Gudenberg, A. (2015). Robustes Echtzeit-Feedback für die gebundene, weiche Sprechtechnik in der Stottertherapie. In Aktuelle phoniatrisch-pädaudiologische Aspekte 2015 (pp. 70-72). Oldenburg (Oldenburg).

Last updated on 2016-04-05 at 10:42