| 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 | 613 | 2016 |
| 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 | 603 | 2013 |
| 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 | 459 | 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 | 380 | 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 | 189 | 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 | 182 | 2017 |
| 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 | 175 | 2015 |
| The INTERSPEECH 2014 computational paralinguistics challenge: Cognitive & physical load B Schuller, S Steidl, A Batliner, J Epps, F Eyben, F Ringeval, E Marchi, ... | 143 | 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 | 113 | 2016 |
| 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 | 82 | 2018 |
| 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 | 67 | 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 | 61 | 2010 |
| AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition F Ringeval, B Schuller, M Valstar, N Cummins, R Cowie, L Tavabi, ... Proceedings of the 9th International on Audio/Visual Emotion Challenge and …, 2019 | 60 | 2019 |
| 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 | 56 | 2008 |
| Sewa db: A rich database for audio-visual emotion and sentiment research in the wild J Kossaifi, R Walecki, Y Panagakis, J Shen, M Schmitt, F Ringeval, J Han, ... IEEE transactions on pattern analysis and machine intelligence, 2019 | 55 | 2019 |
| 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 | 53 | 2015 |
| 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 | 47 | 2016 |
| 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 | 45 | 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 Proceedings INTERSPEECH 2016, 17th Annual Conference of the International …, 2016 | 44 | 2016 |
| Time-scale feature extractions for emotional speech characterization M Chetouani, A Mahdhaoui, F Ringeval Cognitive Computation 1 (2), 194-201, 2009 | 39 | 2009 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
