Eduardo Coutinho

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Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
Klaus R. SchererProfessor of Psychology, University of GenevaVerified email at unige.ch
Angelo CangelosiProfessor of Machine Learning and RoboticsVerified email at manchester.ac.uk
Yue ZhangMassachusetts Institute of Technology, Imperial College LondonVerified email at mit.edu
Nicola DibbenProfessor in Music, University of SheffieldVerified email at sheffield.ac.uk
Alice BairdUniversity of AugsburgVerified email at informatik.uni-augsburg.de
Jun DengaudEERING, GermanyVerified email at tum.de
Anton BatlinerUniversity of Augsburg / FAU ErlangenVerified email at cs.fau.de
Julia HirschbergColumbia UniversityVerified email at cs.columbia.edu
Stefan SteidlComputer Science Department 5 (Pattern Recognition), Friedrich-Alexander University ErlangenVerified email at cs.fau.de
Judee BurgoonProfessor of Communication, Center for Identification Technology Research, University of ArizonaVerified email at cmi.arizona.edu
Keelan EvaniniEducational Testing ServiceVerified email at ets.org
Eduardo R MirandaProfessor of Computer Music, Plymouth UniversityVerified email at plymouth.ac.uk
Erik MarchiApple Inc.Verified email at tum.de
Fabien RingevalAssociate Professor, Université Grenoble Alpes, LIG, FranceVerified email at imag.fr
Jacopo de BerardinisResearch Associate in Informatics, King's College LondonVerified email at kcl.ac.uk
Tan-Chyuan ChinPartnerships & Scientific Director, Highway FoundationVerified email at highwayfoundation.org
Stefanos ZafeiriouProfessor, Imperial College LondonVerified email at imperial.ac.uk
George TrigeorgisCitadelVerified email at trigeorgis.com
Tamaya Van CriekingeKU LeuvenVerified email at kuleuven.be

Eduardo Coutinho

University of Liverpool and University of Manchester

Verified email at liverpool.ac.uk - Homepage

Music Psychology Music & Health Music in Everyday Life Computer Science


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The INTERSPEECH 2016 Computational Paralinguistics Challenge: Deception, Sincerity & Native Language. BW Schuller, S Steidl, A Batliner, J Hirschberg, JK Burgoon, A Baird, ... INTERSPEECH, 2001-2005, 2016	269	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	164	2011
How music creates emotion: a multifactorial process approach KR Scherer, E Coutinho The Emotional Power of Music: Multidisciplinary Perspectives on Musical …, 2013	134	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	131	2014
Psychoacoustic cues to emotion in speech prosody and music E Coutinho, N Dibben Cognition & emotion 27 (4), 658-684, 2013	122	2013
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	72	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	70	2016
The use of spatio-temporal connectionist models in psychological studies of musical emotions E Coutinho, A Cangelosi Music Perception: An Interdisciplinary Journal 27 (1), 1-15, 2009	64	2009
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	47	2014
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	37	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	35	2017
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	33	2018
The Munich LSTM-RNN Approach to the MediaEval 2014 “Emotion in Music” Task E Coutinho, F Weninger, B Schuller, KR Scherer MediaEval Workshop, 5-6, 2014	31	2014
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	30	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	29	2018
Ask Alice: an artificial retrieval of information agent M Valstar, T Baur, A Cafaro, A Ghitulescu, B Potard, J Wagner, E André, ... Proceedings of the 18th ACM International Conference on Multimodal …, 2016	28	2016
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	25*	2017
Automatically estimating emotion in music with deep long-short term memory recurrent neural networks E Coutinho, G Trigeorgis, S Zafeiriou, B Schuller CEUR Workshop Proceedings 1436, 2015	25	2015
Dynamic Active Learning Based on Agreement and Applied to Emotion Recognition in Spoken Interactions Y Zhang, E Coutinho, Z Zhang, C Quan, B Schuller Proceedings of the 2015 ACM on International Conference on Multimodal …, 2015	22	2015
Distributing Recognition in Computational Paralinguistics Z Zhang, E Coutinho, J Deng, B Schuller IEEE Transactions on Affective Computing 5 (4), 406-417, 2014	22	2014

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