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Dmytro Prylipko
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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
492014
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
402011
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
362011
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
312014
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
222012
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
202011
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
162014
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
142014
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
132014
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
92012
Emotion and disposition detection in medical machines: Chances and challenges
K Hartmann, I Siegert, D Prylipko
Machine Medical Ethics, 317-339, 2015
32015
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
32012
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
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