| Cross-corpus acoustic emotion recognition: Variances and strategies B Schuller, B Vlasenko, F Eyben, M Wöllmer, A Stuhlsatz, A Wendemuth, ... IEEE Transactions on Affective Computing 1 (2), 119-131, 2010 | 524 | 2010 |
| Acoustic emotion recognition: A benchmark comparison of performances B Schuller, B Vlasenko, F Eyben, G Rigoll, A Wendemuth 2009 IEEE workshop on automatic speech recognition & understanding, 552-557, 2009 | 370 | 2009 |
| Frame vs. turn-level: emotion recognition from speech considering static and dynamic processing B Vlasenko, B Schuller, A Wendemuth, G Rigoll International Conference on Affective Computing and Intelligent Interaction …, 2007 | 124 | 2007 |
| A companion technology for cognitive technical systems A Wendemuth, S Biundo Cognitive Behavioural Systems: COST 2102 International Training School …, 2012 | 111 | 2012 |
| Combining frame and turn-level information for robust recognition of emotions within speech B Vlasenko, B Schuller, A Wendemuth, G Rigoll | 101 | 2007 |
| 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 | 98 | 2014 |
| Companion-Technology for Cognitive Technical Systems S Biundo, A Wendemuth KI-Künstliche Intelligenz 30 (1), 71-75, 2016 | 67 | 2016 |
| Speech recognition with support vector machines in a hybrid system. SE Krüger, M Schafföner, M Katz, E Andelic, A Wendemuth Interspeech, 993-996, 2005 | 64 | 2005 |
| 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 2011 IEEE International Conference on Multimedia and Expo, 1-6, 2011 | 62 | 2011 |
| Large vocabulary continuous speech recognition of Broadcast News–The Philips/RWTH approach P Beyerlein, X Aubert, R Haeb-Umbach, M Harris, D Klakow, ... Speech Communication 37 (1-2), 109-131, 2002 | 56 | 2002 |
| 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 | 53 | 2014 |
| Grundlagen der stochastischen Sprachverarbeitung A Wendemuth, E Andelic, S Barth, S Dobler, M Katz, S Krüger, M Maiwald, ... Oldenbourg Wissenschaftsverlag GmbH, 2004 | 52 | 2004 |
| Combining speech recognition and acoustic word emotion models for robust text-independent emotion recognition B Schuller, B Vlasenko, D Arsic, G Rigoll, A Wendemuth 2008 IEEE International Conference on Multimedia and Expo, 1333-1336, 2008 | 46 | 2008 |
| 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 | 42 | 2011 |
| Advances in confidence measures for large vocabulary A Wendemuth, G Rose, JGA Dolfing 1999 IEEE International Conference on Acoustics, Speech, and Signal …, 1999 | 41 | 1999 |
| Comparing one and two-stage acoustic modeling in the recognition of emotion in speech B Schuller, B Vlasenko, R Minguez, G Rigoll, A Wendemuth 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU …, 2007 | 40 | 2007 |
| Companion technology: a paradigm shift in human-technology interaction S Biundo, A Wendemuth Springer, 2017 | 39 | 2017 |
| Vowels Formants Analysis Allows Straightforward Detection of High Arousal Acted and Spontaneous Emotions. B Vlasenko, D Prylipko, D Philippou-Hübner, A Wendemuth Interspeech, 1577-1580, 2011 | 39 | 2011 |
| Von kognitiven technischen systemen zu companion-systemen S Biundo, A Wendemuth KI-Künstliche Intelligenz 24 (4), 335-339, 2010 | 39 | 2010 |
| Grundlagen der digitalen Signalverarbeitung: ein mathematischer Zugang A Wendemuth Springer Berlin Heidelberg, 2005 | 39 | 2005 |
