| Opensmile: the munich versatile and fast open-source audio feature extractor F Eyben, M Wöllmer, B Schuller Proceedings of the 18th ACM international conference on Multimedia, 1459-1462, 2010 | 3440 | 2010 |
| OpenEAR—introducing the Munich open-source emotion and affect recognition toolkit F Eyben, M Wöllmer, B Schuller 2009 3rd international conference on affective computing and intelligent …, 2009 | 545 | 2009 |
| Youtube movie reviews: Sentiment analysis in an audio-visual context M Wöllmer, F Weninger, T Knaup, B Schuller, C Sun, K Sagae, ... IEEE Intelligent Systems 28 (3), 46-53, 2013 | 484 | 2013 |
| Cross-corpus acoustic emotion recognition: Variances and strategies B Schuller, B Vlasenko, F Eyben, M Wollmer, A Stuhlsatz, A Wendemuth, ... Affective Computing, IEEE Transactions on 1 (2), 119-131, 2010 | 481 | 2010 |
| Abandoning emotion classes-towards continuous emotion recognition with modelling of long-range dependencies M Wöllmer, F Eyben, S Reiter, B Schuller, C Cox, E Douglas-Cowie, ... | 390 | 2008 |
| LSTM-modeling of continuous emotions in an audiovisual affect recognition framework M Wöllmer, M Kaiser, F Eyben, B Schuller, G Rigoll Image and Vision Computing 31 (2), 153-163, 2013 | 347 | 2013 |
| Building autonomous sensitive artificial listeners M Schroder, E Bevacqua, R Cowie, F Eyben, H Gunes, D Heylen, ... Affective Computing, IEEE Transactions on, 1-1, 2011 | 263 | 2011 |
| Context-sensitive multimodal emotion recognition from speech and facial expression using bidirectional lstm modeling M Wöllmer, A Metallinou, F Eyben, B Schuller, S Narayanan | 261 | 2010 |
| Being bored? Recognising natural interest by extensive audiovisual integration for real-life application B Schuller, R Müller, F Eyben, J Gast, B Hörnler, M Wöllmer, G Rigoll, ... Image and Vision Computing 27 (12), 1760-1774, 2009 | 234 | 2009 |
| Emotion on the road—necessity, acceptance, and feasibility of affective computing in the car F Eyben, M Wöllmer, T Poitschke, B Schuller, C Blaschke, B Färber, ... Advances in Human‐Computer Interaction 2010 (1), 263593, 2010 | 228 | 2010 |
| Context-sensitive learning for enhanced audiovisual emotion classification A Metallinou, M Wollmer, A Katsamanis, F Eyben, B Schuller, ... IEEE Transactions on Affective Computing 3 (2), 184-198, 2012 | 221 | 2012 |
| Online driver distraction detection using long short-term memory M Wollmer, C Blaschke, T Schindl, B Schuller, B Farber, S Mayer, ... IEEE Transactions on Intelligent Transportation Systems 12 (2), 574-582, 2011 | 209 | 2011 |
| Combining long short-term memory and dynamic bayesian networks for incremental emotion-sensitive artificial listening M Wöllmer, B Schuller, F Eyben, G Rigoll IEEE Journal of selected topics in signal processing 4 (5), 867-881, 2010 | 209 | 2010 |
| On-line emotion recognition in a 3-D activation-valence-time continuum using acoustic and linguistic cues F Eyben, M Wöllmer, A Graves, B Schuller, E Douglas-Cowie, R Cowie Journal on Multimodal User Interfaces 3, 7-19, 2010 | 173 | 2010 |
| Unsupervised learning in cross-corpus acoustic emotion recognition Z Zhang, F Weninger, M Wöllmer, B Schuller 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 523-528, 2011 | 149 | 2011 |
| A multidimensional dynamic time warping algorithm for efficient multimodal fusion of asynchronous data streams M Wollmer, M Al-Hames, F Eyben, B Schuller, G Rigoll Neurocomputing 73 (1-3), 366-380, 2009 | 116 | 2009 |
| Robust discriminative keyword spotting for emotionally colored spontaneous speech using bidirectional LSTM networks M Wollmer, F Eyben, J Keshet, A Graves, B Schuller, G Rigoll 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 98 | 2009 |
| Bidirectional LSTM networks for context-sensitive keyword detection in a cognitive virtual agent framework M Wöllmer, F Eyben, A Graves, B Schuller, G Rigoll Cognitive Computation 2, 180-190, 2010 | 96 | 2010 |
| Feature enhancement by deep LSTM networks for ASR in reverberant multisource environments F Weninger, J Geiger, M Wöllmer, B Schuller, G Rigoll Computer Speech & Language 28 (4), 888-902, 2014 | 73 | 2014 |
| From speech to letters-using a novel neural network architecture for grapheme based ASR F Eyben, M Wollmer, B Schuller, A Graves Automatic Speech Recognition & Understanding, 2009. ASRU 2009. IEEE Workshop …, 2009 | 72 | 2009 |