| The INTERSPEECH 2013 Computational Paralinguistics Challenge: Social Signals, Conflict, Emotion, Autism B Schuller, S Steidl, A Batliner, A Vinciarelli, K Scherer, F Ringeval, ... Interspeech, 2013 | 487 | 2013 |
| Adieu Features? End-to-end Speech Emotion Recognition Using a Deep Convoluitonal Recurrent Network G Trigeorgis, F Ringeval, R Brueckner, E Marchi, MA Nicolaou, B Schuller, ... 41st IEEE International Conference on Acoustics, Speech, and Signal …, 2016 | 420 | 2016 |
| Introducing the RECOLA Multimodal Corpus of Remote Collaborative and Affective Interactions F Ringeval, A Sonderegger, J Sauer, D Lalanne Face and Gestures 2013, Workshop on Emotion Representation, Analysis and …, 2013 | 359 | 2013 |
| AVEC 2016-Depression, Mood, and Emotion Recognition Workshop and Challenge M Valstar, J Gratch, B Schuller, F Ringeval, D Lalanne, MT Torres, ... Proceedings of the 6th International Workshop on Audio/Visual Emotion …, 2016 | 281 | 2016 |
| Prediction of asynchronous dimensional emotion ratings from audiovisual and physiological data F Ringeval, F Eyben, E Kroupi, A Yuce, JP Thiran, T Ebrahimi, D Lalanne, ... Pattern Recognition Letters 66, 22-30, 2015 | 160 | 2015 |
| AV+EC 2015 – The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data F Ringeval, B Schuller, M Valstar, S Jaiswal, E Marchi, D Lalanne, ... ACM Multimedia, AVEC'15, 2015 | 147 | 2015 |
| Avec 2017: Real-life depression, and affect recognition workshop and challenge F Ringeval, B Schuller, M Valstar, J Gratch, R Cowie, S Scherer, S Mozgai, ... Proceedings of the 7th Annual Workshop on Audio/Visual Emotion Challenge, 3-9, 2017 | 131 | 2017 |
| I (special session)******** the interspeech 2014 computational paralinguistics challenge: Cognitive & physical load B Schuller, S Steidl, A Batliner, J Epps, F Eyben, F Ringeval, E Marchi, ... Fifteenth Annual Conference of the International Speech Communication …, 2014 | 127 | 2014 |
| At the Border of Acoustics and Linguistics: Bag-of-Audio-Words for the Recognition of Emotions in Speech. M Schmitt, F Ringeval, BW Schuller INTERSPEECH, 495-499, 2016 | 89 | 2016 |
| Differential language markers of pathology in autism, pervasive developmental disorder not otherwise specified and specific language impairment J Demouy, M Plaza, J Xavier, F Ringeval, M Chetouani, D Perisse, ... Research in Autism Spectrum Disorders 5 (4), 1402-1412, 2011 | 57 | 2011 |
| Automatic intonation recognition for the prosodic assessment of language-impaired children F Ringeval, J Demouy, G Szaszak, M Chetouani, L Robel, J Xavier, ... IEEE Transactions on Audio, Speech, and Language Processing 19 (5), 1328-1342, 2010 | 55 | 2010 |
| Exploiting a Vowel Based Approach for Acted Emotion Recognition F Ringeval, M Chetouani Verbal and Nonverbal Features of Human-Human and Human-Machine Interaction …, 2008 | 52 | 2008 |
| AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition F Ringeval, B Schuller, M Valstar, R Cowie, H Kaya, M Schmitt, ... Proceedings of the 2018 on audio/visual emotion challenge and workshop, 3-13, 2018 | 50 | 2018 |
| AVEC 2015 — The 5th International Audio/Visual Emotion Challenge and Workshop F Ringeval, B Schuller, M Valstar, R Cowie, M Pantic Proceedings of the 5th International Audio/Visual Emotion Challenge and …, 2015 | 39 | 2015 |
| Time-scale feature extractions for emotional speech characterization M Chetouani, A Mahdhaoui, F Ringeval Cognitive Computation 1 (2), 194-201, 2009 | 36 | 2009 |
| Discriminatively trained recurrent neural networks for continuous dimensional emotion recognition from audio F Weninger, F Ringeval, E Marchi, B Schuller International Joint Conference on Artificial Intelligence (IJCAI), 2016 | 35 | 2016 |
| Enhanced semi-supervised learning for multimodal emotion recognition Z Zhang, F Ringeval, B Dong, E Coutinho, E Marchi, B Schuller IEEE International Conference on Acoustics, Speech, and Signal Processing …, 2016 | 34 | 2016 |
| Facing realism in spontaneous emotion recognition from speech: Feature enhancement by autoencoder with LSTM neural networks Z Zhang, F Ringeval, J Han, J Deng, E Marchi, B Schuller | 33 | 2016 |
| Emotion recognition in the wild: Incorporating voice and lip activity in multimodal decision-level fusion F Ringeval, S Amiriparian, F Eyben, K Scherer, B Schuller Proceedings of the 16th International Conference on Multimodal Interaction …, 2014 | 29 | 2014 |
| Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals J Han, Z Zhang, N Cummins, F Ringeval, B Schuller Image and Vision Computing 65, 76-86, 2017 | 27 | 2017 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
