| 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 | 362 | 2017 |
| Audio/Visual Emotion Challenge 2019: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition F Ringeval, B Schuller, M Valstar, N Cummins, R Cowie, L Tavabi, ... | 284* | 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, 2019 | 226 | 2019 |
| openXBOW - Introducing the Passau Open-Source Crossmodal Bag-of-Words Toolkit M Schmitt, BW Schuller The Journal of Machine Learning Research 18 (96), 1-5, 2017 | 200 | 2017 |
| 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 | 182 | 2018 |
| The Interspeech 2017 computational paralinguistics challenge: Addressee, cold & snoring B Schuller, S Steidl, A Batliner, E Bergelson, J Krajewski, C Janott, ... Computational Paralinguistics Challenge (ComParE), Interspeech 2017, 3442-3446, 2017 | 182 | 2017 |
| At the border of acoustics and linguistics: Bag-of-audio-words for the recognition of emotions in speech M Schmitt, F Ringeval, B Schuller | 182 | 2016 |
| Dawn of the transformer era in speech emotion recognition: closing the valence gap J Wagner, A Triantafyllopoulos, H Wierstorf, M Schmitt, F Burkhardt, ... arXiv preprint arXiv:2203.07378, 2022 | 167 | 2022 |
| The interspeech 2018 computational paralinguistics challenge: Atypical & self-assessed affect, crying & heart beats BW Schuller, S Steidl, A Batliner, PB Marschik, H Baumeister, F Dong, ... 19th Annual Conference of the International Speech Communication …, 2018 | 143 | 2018 |
| The Interspeech 2020 computational paralinguistics challenge: Elderly emotion, breathing & masks BW Schuller, A Batliner, C Bergler, EM Messner, A Hamilton, ... Proceedings INTERSPEECH. Shanghai, China: ISCA, 2020 | 140 | 2020 |
| The interspeech 2019 computational paralinguistics challenge: Styrian dialects, continuous sleepiness, baby sounds & orca activity B Schuller, A Batliner, C Bergler, FB Pokorny, J Krajewski, M Cychosz, ... | 110 | 2019 |
| From hard to soft: Towards more human-like emotion recognition by modelling the perception uncertainty J Han, Z Zhang, M Schmitt, M Pantic, B Schuller Proceedings of the 25th ACM international conference on Multimedia, 890-897, 2017 | 103 | 2017 |
| DEMoS: an Italian emotional speech corpus: Elicitation methods, machine learning, and perception E Parada-Cabaleiro, G Costantini, A Batliner, M Schmitt, BW Schuller Language Resources and Evaluation 54 (2), 341-383, 2020 | 65 | 2020 |
| Multimodal bag-of-words for cross domains sentiment analysis N Cummins, S Amiriparian, S Ottl, M Gerczuk, M Schmitt, B Schuller 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 56 | 2018 |
| Snoring classified: the Munich-Passau snore sound corpus C Janott, M Schmitt, Y Zhang, K Qian, V Pandit, Z Zhang, C Heiser, ... Computers in Biology and Medicine 94, 106-118, 2018 | 55 | 2018 |
| A bag-of-audio-words approach for snore sounds' excitation localisation M Schmitt, C Janott, V Pandit, K Qian, C Heiser, W Hemmert, B Schuller Speech Communication; 12. ITG Symposium, 1-5, 2016 | 52 | 2016 |
| Continuous Emotion Recognition in Speech–Do We Need Recurrence? M Schmitt, N Cummins, B Schuller Interspeech, 2808-2812, 2019 | 49 | 2019 |
| Mixedemotions: An open-source toolbox for multimodal emotion analysis P Buitelaar, ID Wood, S Negi, M Arcan, JP McCrae, A Abele, C Robin, ... IEEE Transactions on Multimedia 20 (9), 2454-2465, 2018 | 46 | 2018 |
| Speech-based Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations J Deng, N Cummins, M Schmitt, K Qian, F Ringeval, B Schuller ACM Digital Health, 5 pages, 2017 | 45 | 2017 |
| Deep unsupervised representation learning for abnormal heart sound classification S Amiriparian, M Schmitt, N Cummins, K Qian, F Dong, B Schuller 2018 40th Annual International Conference of the IEEE Engineering in …, 2018 | 37 | 2018 |
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGVerified email at tum.de
