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 | 481 | 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 | 357 | 2009 |
Frame vs. turn-level: emotion recognition from speech considering static and dynamic processing B Vlasenko, B Schuller, A Wendemuth, G Rigoll Affective Computing and Intelligent Interaction: Second International …, 2007 | 123 | 2007 |
Combining frame and turn-level information for robust recognition of emotions within speech B Vlasenko, B Schuller, A Wendemuth, G Rigoll Proc. INTERSPEECH 2007, Antwerp, Belgium, 2007 | 95 | 2007 |
Enhancing speech-based depression detection through gender dependent vowel-level formant features N Cummins, B Vlasenko, H Sagha, B Schuller Artificial Intelligence in Medicine: 16th Conference on Artificial …, 2017 | 70 | 2017 |
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 | 56 | 2011 |
Learning voice source related information for depression detection SP Dubagunta, B Vlasenko, MM Doss ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 54 | 2019 |
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 | 52 | 2014 |
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 | 45 | 2008 |
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 | 40 | 2011 |
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 |
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 | 37 | 2011 |
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 | 32 | 2014 |
Implementing gender-dependent vowel-level analysis for boosting speech-based depression recognition B Vlasenko, H Sagha, N Cummins, B Schuller | 29 | 2017 |
Balancing spoken content adaptation and unit length in the recognition of emotion and interest B Vlasenko, B Schuller, KT Mengistu, G Rigoll, A Wendemuth | 29 | 2008 |
Processing affected speech within human machine interaction B Vlasenko, A Wendemuth Tenth Annual Conference of the International Speech Communication Association, 2009 | 27 | 2009 |
Tuning hidden Markov model for speech emotion recognition B Vlasenko, A Wendemuth Fortschritte der akustik 33 (1), 317, 2007 | 26 | 2007 |
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 | 25 | 2012 |
On the influence of phonetic content variation for acoustic emotion recognition B Vlasenko, B Schuller, A Wendemuth, G Rigoll Perception in Multimodal Dialogue Systems: 4th IEEE Tutorial and Research …, 2008 | 23 | 2008 |
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 | 22 | 2012 |