INSTITUT FÜR

INFORMATIONS- UND

KOMMUNIKATIONSTECHNIK

 Lebenslauf Forschung Publikationen

Lebenslauf

Forschungsinteressen

• Sprachverarbeitung: Spontanspracherkennung, Sprecheranpassung, Emotionserkennung aus Sprachsignalen;
• Mensch-Maschine-Interaktion: Dialogdesign, Modellierung der Nutzerstimmung und -intention.

Mitgliedschaften

• Institute of Electrical and Electronics Engineers (IEEE)
• Mitglied des Graduiertenkolleg des SFB-TRR 62

Betreute Arbeiten

• Olga Egorow
  Automatic Localisation of Filled Pauses in the LAST MINUTE Corpus
  Master Thesis, 2015.

Publikationen

2015 2014 2013 2012 2011

2015

Dmytro Prylipko, Ronald Böck, Andreas Wendemuth.
Functional Analysis of Pitch Contours for Disposition Recognition from Speech
To appear in: Interdisziplinärer Workshop Kognitive Systeme - Mensch, Teams, Systeme und Automaten, March 23-25, 2015, Bielefeld, Germany.

2014

Kim Hartmann, Ingo Siegert, Dmytro Prylipko.
Emotion and Disposition Detection in Medical Machines: Chances and Challenges.
In: Simon Peter van Rysewyk and Matthijs Pontier (Eds): Machine Medical Ethics. Intelligent Systems, Control and Automation: Science and Engineering, volume 74, Springer, 2014.

Dmytro Prylipko, Olga Egorow, Ingo Siegert, Andreas Wendemuth.
Application of Image Processing Methods to Filled Pauses Detection from Spontaneous Speech.
In: Proceedings of INTERSPEECH 2014.

Ingo Siegert, Matthias Haase, Dmytro Prylipko and Andreas Wendemuth.
Discourse Particles and User Characteristics in Naturalistic Human-Computer Interaction.
In: Masaaki Kurosu (ed.). Human-Computer Interaction. Advanced Interaction Modalities and Techniques. LNCS, volume 8511, Springer International Publishing, 2014, pages 492-501.

Ingo Siegert, Dmytro Prylipko, Kim Hartmann, Ronald Böck and Andreas Wendemuth:
Investigating the form-function-relation of the discourse particle "hm" in a naturalistic human-computer interaction
In: S. Bassis, A. Esposito, F.C. Morabito (eds.): Recent Advances of Neural Network Models and Applications. Smart Innovation, Systems and Technologies series, vol. 26, pp. 387-394, Springer, 2014.

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.
Computer Speech and Language 28(2), pp. 483-500, 2014

Dmytro Prylipko, Dietmar Rösner, Ingo Siegert, Stephan Günther, Rafael Friesen, Matthias Haase, Bogdan Vlasenko and Andreas Wendemuth:
Analysis of significant dialog events in realistic human-computer interaction
Journal on Multimodal User Interfaces 8(1), pp.17-28, 2014 (Online).

2012

Bogdan Vlasenko, Dmytro Prylipko, Andreas Wendemuth:
Towards robust spontaneous speech recognition with emotional speech adapted acoustic models
In Proceedings of 35th German Conference on Artificial Intelligence. September 24-27, 2012. Saarbrücken, Germany.

Dmytro Prylipko, Bogdan Vlasenko, Andreas Stolcke, Andreas Wendemuth:
Language modeling of monverbal vocalizations in spontaneous speech
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7499 LNAI, pp. 488-495. Springer, Heidelberg (2012).

Dmytro Prylipko, Björn Schuller, Andreas Wendemuth:
Fine-tuning HMMs for nonverbal vocalizations in spontaneous speech: a multicorpus perspective
In Proceedings of ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 4625-4628, April 25-31, 2012. Kyoto, Japan.

2011

Dmytro Prylipko, Dirk Schnelle-Walka, Spencer Lord and Andreas Wendemuth:
Zanzibar OpenIVR: an open-source framework for development of spoken dialog systems
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6836 LNAI, pp. 372-379. Springer, Heidelberg (2011).

Bogdan Vlasenko, Dmytro Prylipko, David Philippou-Hübner,  Andreas Wendemuth:
Vowels formants analysis allows straightforward detection of high arousal acted and spontaneous emotions
In Proceedings of INTERSPEECH 2011, Annual Conference of the International Speech Communication Association, pp. 1577-1580, August 28-31, 2011, Florence, Italy.

Bogdan Vlasenko, David Philippou-Hübner, Dmytro Prylipko, Ronald Böck, Ingo Siegert, Andreas Wendemuth:
Vowels formants analysis allows straightforward detection of high arousal emotions
In Proceedings of the IEEE International Conference on Multimedia & Expo. (ICME 2011), July 11-15, 2011, Barcelona, Spain.