| The interspeech 2016 computational paralinguistics challenge: Deception, sincerity & native language B Schuller, S Steidl, A Batliner, J Hirschberg, JK Burgoon, A Baird, ... 17TH Annual Conference of the International Speech Communication Association …, 2016 | 477 | 2016 |
| Musical emotions: predicting second-by-second subjective feelings of emotion from low-level psychoacoustic features and physiological measurements. E Coutinho, A Cangelosi Emotion 11 (4), 921, 2011 | 221 | 2011 |
| How music creates emotion: A multifactorial process approach KR Scherer, E Coutinho The emotional power of music, multidisciplinary perspectives on musical …, 2013 | 212 | 2013 |
| Psychoacoustic cues to emotion in speech prosody and music E Coutinho, N Dibben Cognition & emotion 27 (4), 658-684, 2013 | 185 | 2013 |
| Cooperative learning and its application to emotion recognition from speech Z Zhang, E Coutinho, J Deng, B Schuller IEEE/ACM Transactions on Audio, Speech, and Language Processing 23 (1), 115-126, 2014 | 165 | 2014 |
| Enhanced semi-supervised learning for multimodal emotion recognition Z Zhang, F Ringeval, B Dong, E Coutinho, E Marchi, B Schüller 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 102 | 2016 |
| Semi-supervised active learning for sound classification in hybrid learning environments W Han, E Coutinho, H Ruan, H Li, B Schuller, X Yu, X Zhu PloS one 11 (9), e0162075, 2016 | 99 | 2016 |
| MUSEBAQ: A modular tool for music research to assess musicianship, musical capacity, music preferences, and motivations for music use TC Chin, E Coutinho, KR Scherer, NS Rickard Music Perception: An Interdisciplinary Journal 35 (3), 376-399, 2018 | 77 | 2018 |
| Introducing the GEneva Music-Induced Affect Checklist (GEMIAC) a brief instrument for the rapid assessment of musically induced emotions E Coutinho, KR Scherer Music Perception: An Interdisciplinary Journal 34 (4), 371-386, 2017 | 76 | 2017 |
| The use of spatio-temporal connectionist models in psychological studies of musical emotions E Coutinho, A Cangelosi Music Perception 27 (1), 1-15, 2009 | 72 | 2009 |
| Dynamic difficulty awareness training for continuous emotion prediction Z Zhang, J Han, E Coutinho, B Schuller IEEE Transactions on Multimedia 21 (5), 1289-1301, 2018 | 69 | 2018 |
| The effect of context and audio-visual modality on emotions elicited by a musical performance E Coutinho, KR Scherer Psychology of Music 45 (4), 550-569, 2017 | 69 | 2017 |
| Connecting subspace learning and extreme learning machine in speech emotion recognition X Xu, J Deng, E Coutinho, C Wu, L Zhao, BW Schuller IEEE Transactions on Multimedia 21 (3), 795-808, 2018 | 65 | 2018 |
| Transfer learning emotion manifestation across music and speech E Coutinho, J Deng, B Schuller 2014 International Joint Conference on Neural Networks (IJCNN), 3592-3598, 2014 | 53 | 2014 |
| Background music and cognitive task performance: A systematic review of task, music, and population impact Y Cheah, HK Wong, M Spitzer, E Coutinho Music & Science 5, 20592043221134392, 2022 | 49 | 2022 |
| Shared acoustic codes underlie emotional communication in music and speech—Evidence from deep transfer learning E Coutinho, B Schuller PloS one 12 (6), e0179289, 2017 | 42 | 2017 |
| The ICL-TUM-PASSAU approach for the MediaEval 2015" affective impact of movies" task G Trigeorgis, F Ringeval, E Marchi, S Zafeiriou, E Coutinho, B Schuller | 39 | 2015 |
| The munich lstm-rnn approach to the mediaeval 2014" emotion in music" task E Coutinho, F Weninger, B Schuller, KR Scherer CEUR Workshop Proceedings 1263, 2014 | 39 | 2014 |
| Singing and emotion E Coutinho, KR Scherer, N Dibben The Oxford handbook of singing, 297-314, 2014 | 38 | 2014 |
| The multiple voices of musical emotions: Source separation for improving music emotion recognition models and their interpretability J De Berardinis, A Cangelosi, E Coutinho Proceedings of the 21st international society for music information …, 2020 | 36 | 2020 |
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGVerified email at tum.de
