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ORCIDDmytro Prylipko
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Journal Articles
- 2014
[j2]Bogdan Vlasenko, Dmytro Prylipko, Ronald Böck, Andreas Wendemuth:
Modeling phonetic pattern variability in favor of the creation of robust emotion classifiers for real-life applications. Comput. Speech Lang. 28(2): 483-500 (2014)- [j1]Dmytro Prylipko, Dietmar F. Rösner, Ingo Siegert, Stephan Günther, Rafael Friesen, Matthias Haase, Bogdan Vlasenko, Andreas Wendemuth:
Analysis of significant dialog events in realistic human-computer interaction. J. Multimodal User Interfaces 8(1): 75-86 (2014)
Conference and Workshop Papers
- 2014
- [c8]Ingo Siegert, Matthias Haase, Dmytro Prylipko, Andreas Wendemuth:
Discourse Particles and User Characteristics in Naturalistic Human-Computer Interaction. HCI (2) 2014: 492-501 - [c7]Dmytro Prylipko, Olga Egorow, Ingo Siegert, Andreas Wendemuth:
Application of image processing methods to filled pauses detection from spontaneous speech. INTERSPEECH 2014: 1816-1820 - 2013
- [c6]Ingo Siegert, Dmytro Prylipko, Kim Hartmann, Ronald Böck, Andreas Wendemuth:
Investigating the Form-Function-Relation of the Discourse Particle "hm" in a Naturalistic Human-Computer Interaction. WIRN 2013: 387-394 - 2012
- [c5]Dmytro Prylipko, Björn W. Schuller
, Andreas Wendemuth:
Fine-tuning HMMS for nonverbal vocalizations in spontaneous speech: A multicorpus perspective. ICASSP 2012: 4625-4628 - [c4]Dmytro Prylipko, Bogdan Vlasenko, Andreas Stolcke, Andreas Wendemuth:
Language Modeling of Nonverbal Vocalizations in Spontaneous Speech. TSD 2012: 488-495 - 2011
- [c3]Bogdan Vlasenko, David Philippou-Hübner, Dmytro Prylipko, Ronald Böck, Ingo Siegert, Andreas Wendemuth:
Vowels formants analysis allows straightforward detection of high arousal emotions. ICME 2011: 1-6 - [c2]Bogdan Vlasenko, Dmytro Prylipko, David Philippou-Hübner, Andreas Wendemuth:
Vowels Formants Analysis Allows Straightforward Detection of High Arousal Acted and Spontaneous Emotions. INTERSPEECH 2011: 1577-1580 - [c1]Dmytro Prylipko, Dirk Schnelle-Walka, Spencer Lord, Andreas Wendemuth:
Zanzibar OpenIVR: An Open-Source Framework for Development of Spoken Dialog Systems. TSD 2011: 372-379
Coauthor Index
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