| 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 | 1124 | 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 | 940 | 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 | 936 | 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 | 753 | 2016 |
| 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 | 397 | 2017 |
| 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 | 347 | 2019 |
| 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 43 (3), 1022-1040, 2019 | 271 | 2019 |
| 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 | 263 | 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 | 243 | 2015 |
| 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 | 201 | 2018 |
| The interspeech 2014 computational paralinguistics challenge: Cognitive & physical load, multitasking B Schuller, S Steidl, A Batliner, J Epps, F Eyben, F Ringeval, E Marchi, ... Proceedings INTERSPEECH 2014, 15th Annual Conference of the International …, 2014 | 196 | 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 | 190 | 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 | 99 | 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 | 94 | 2011 |
| Lebenchmark: A reproducible framework for assessing self-supervised representation learning from speech S Evain, H Nguyen, H Le, MZ Boito, S Mdhaffar, S Alisamir, Z Tong, ... arXiv preprint arXiv:2104.11462, 2021 | 89 | 2021 |
| 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 | 79 | 2016 |
| 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 | 77 | 2015 |
| 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 | 74 | 2010 |
| Prediction-based learning for continuous emotion recognition in speech J Han, Z Zhang, F Ringeval, B Schuller 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 66 | 2017 |
| 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 | 66 | 2016 |
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGZweryfikowany adres z tum.de
