| Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications B Vlasenko, D Prylipko, R Böck, A Wendemuth Computer Speech & Language 28 (2), 483-500, 2014 | 52 | 2014 |
| Vowels formants analysis allows straightforward detection of high arousal acted and spontaneous emotions B Vlasenko, D Prylipko, D Philippou-Hübner, A Wendemuth Twelfth Annual Conference of the International Speech Communication Association, 2011 | 40 | 2011 |
| Vowels formants analysis allows straightforward detection of high arousal emotions B Vlasenko, D Philippou-Hübner, D Prylipko, R Böck, I Siegert, ... 2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011 | 39 | 2011 |
| Analysis of significant dialog events in realistic human–computer interaction D Prylipko, D Rösner, I Siegert, S Günther, R Friesen, M Haase, ... Journal on Multimodal User Interfaces 8, 75-86, 2014 | 32 | 2014 |
| Towards robust spontaneous speech recognition with emotional speech adapted acoustic models B Vlasenko, D Prylipko, A Wendemuth 35th German Conference on Artificial Intelligence (KI-2012), Saarbrücken …, 2012 | 22 | 2012 |
| Zanzibar OpenIVR: an open-source framework for development of spoken dialog systems D Prylipko, D Schnelle-Walka, S Lord, A Wendemuth Text, Speech and Dialogue: 14th International Conference, TSD 2011, Pilsen …, 2011 | 20 | 2011 |
| Discourse particles and user characteristics in naturalistic human-computer interaction I Siegert, M Haase, D Prylipko, A Wendemuth Human-Computer Interaction. Advanced Interaction Modalities and Techniques …, 2014 | 16 | 2014 |
| Application of image processing methods to filled pauses detection from spontaneous speech D Prylipko, O Egorow, I Siegert, A Wendemuth young 15 (3), 3, 2014 | 14 | 2014 |
| Investigating the form-function-relation of the discourse particle “hm” in a naturalistic human-computer interaction I Siegert, D Prylipko, K Hartmann, R Böck, A Wendemuth Recent Advances of Neural Network Models and Applications: Proceedings of …, 2014 | 14 | 2014 |
| Language modeling of nonverbal vocalizations in spontaneous speech D Prylipko, B Vlasenko, A Stolcke, A Wendemuth Text, Speech and Dialogue: 15th International Conference, TSD 2012, Brno …, 2012 | 9 | 2012 |
| Emotion and disposition detection in medical machines: Chances and challenges K Hartmann, I Siegert, D Prylipko Machine Medical Ethics, 317-339, 2015 | 3 | 2015 |
| Fine-tuning HMMs for nonverbal vocalizations in spontaneous speech: A multicorpus perspective D Prylipko, B Schuller, A Wendemuth 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 3 | 2012 |
| J Multimodal User Interfaces (2014) 8: 75–86 D Prylipko, D Rösner, I Siegert, S Günther, R Friesen, M Haase, ... | | 2013 |
| " Cognitive Systems, Department of Electrical Engineering and Information Technology D Prylipko, B Schuller, A Wendemuth | | |
