Follow
Bogdan Vlasenko
Title
Cited by
Cited by
Year
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
4812010
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
3572009
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
1232007
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
952007
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
702017
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
562011
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
542019
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
522014
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
452008
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
402011
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
402007
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
372011
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
322014
Implementing gender-dependent vowel-level analysis for boosting speech-based depression recognition
B Vlasenko, H Sagha, N Cummins, B Schuller
292017
Balancing spoken content adaptation and unit length in the recognition of emotion and interest
B Vlasenko, B Schuller, KT Mengistu, G Rigoll, A Wendemuth
292008
Processing affected speech within human machine interaction
B Vlasenko, A Wendemuth
Tenth Annual Conference of the International Speech Communication Association, 2009
272009
Tuning hidden Markov model for speech emotion recognition
B Vlasenko, A Wendemuth
Fortschritte der akustik 33 (1), 317, 2007
262007
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
252012
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
232008
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
222012
The system can't perform the operation now. Try again later.
Articles 1–20