Ronald Böck
Ronald Böck
Verified email at ovgu.de
Title
Cited by
Cited by
Year
Multimodal emotion classification in naturalistic user behavior
S Walter, S Scherer, M Schels, M Glodek, D Hrabal, M Schmidt, R Böck, ...
International Conference on Human-Computer Interaction, 603-611, 2011
762011
Inter-rater reliability for emotion annotation in human–computer interaction: comparison and methodological improvements
I Siegert, R Böck, A Wendemuth
Journal on Multimodal User Interfaces 8 (1), 17-28, 2014
582014
Appropriate emotional labelling of non-acted speech using basic emotions, geneva emotion wheel and self assessment manikins
I Siegert, R Böck, B Vlasenko, D Philippou-Hübner, A Wendemuth
Multimedia and Expo (ICME), 2011 IEEE International Conference on, 1-6, 2011
462011
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
412014
How do we react to context? annotation of individual and group engagement in a video corpus
F Bonin, R Böck, N Campbell
2012 International Conference on Privacy, Security, Risk and Trust and 2012 …, 2012
302012
Determining optimal signal features and parameters for HMM-based emotion classification
R Böck, D Hübner, A Wendemuth
MELECON 2010-2010 15th IEEE Mediterranean Electrotechnical Conference, 1586-1590, 2010
302010
Investigation of speaker group-dependent modelling for recognition of affective states from speech
I Siegert, D Philippou-Hübner, K Hartmann, R Böck, A Wendemuth
Cognitive Computation 6 (4), 892-913, 2014
292014
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
292011
ikannotate–a tool for labelling, transcription, and annotation of emotionally coloured speech
R Böck, I Siegert, M Haase, J Lange, A Wendemuth
International Conference on Affective Computing and Intelligent Interaction …, 2011
232011
Intraindividual and interindividual multimodal emotion analyses in Human-Machine-Interaction
R Bock, S Gluge, A Wendemuth, K Limbrecht, S Walter, D Hrabal, ...
Cognitive Methods in Situation Awareness and Decision Support (CogSIMA …, 2012
212012
The performance of the speaking rate parameter in emotion recognition from speech
D Philippou-Hübner, B Vlasenko, R Böck, A Wendemuth
2012 IEEE International Conference on Multimedia and Expo Workshops, 296-301, 2012
202012
Recognition of emotional speech with convolutional neural networks by means of spectral estimates
N Weißkirchen, R Bock, A Wendemuth
2017 seventh international conference on affective computing and intelligent …, 2017
172017
Multi-modal classifier-fusion for the classification of emotional states in woz scenarios
M Schels, M Glodek, S Meudt, M Schmidt, D Hrabal, R Boeck, S Walter, ...
Proceedings of the 1st International Conference on Affective and Pleasurable …, 2012
172012
Comparative study on normalisation in emotion recognition from speech
R Böck, O Egorow, I Siegert, A Wendemuth
International Conference on Intelligent Human Computer Interaction, 189-201, 2017
162017
Overlapping speech, utterance duration and affective content in HHI and HCI-An comparison
I Siegert, R Bock, A Wendemuth, B Vlasenko, K Ohnemus
2015 6th IEEE International Conference on Cognitive Infocommunications …, 2015
162015
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, 387-394, 2014
152014
Annotation and classification of changes of involvement in group conversation
R Böck, S Glüge, I Siegert, A Wendemuth
2013 Humaine Association Conference on Affective Computing and Intelligent …, 2013
132013
The influence of context knowledge for multimodal annotation on natural material
I Siegert, R Böck, A Wendemuth
Joint Proceedings of the IVA, 25-32, 2012
132012
Using a PCA-based dataset similarity measure to improve cross-corpus emotion recognition
I Siegert, R Böck, A Wendemuth
Computer Speech & Language 51, 1-23, 2018
112018
Knowledge mining for supporting learning processes
R Knauf, R Bock, S Yoshitaka, D Shinichi, T Setsuo
2008 IEEE International Conference on Systems, Man and Cybernetics, 2615-2621, 2008
112008
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