Björn Schuller

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Florian EybenaudEERING GmbHAdresse e-mail validée de tum.de
Felix WeningerNuance CommunicationsAdresse e-mail validée de nuance.com
Martin WöllmerBMW AG, audEERINGAdresse e-mail validée de audeering.com
Anton BatlinerUniversity of Augsburg / FAU ErlangenAdresse e-mail validée de cs.fau.de
Zixing ZhangHuawei Technologies Research & Development (UK) LtdAdresse e-mail validée de tum.de
Nicholas CumminsKing's College LondonAdresse e-mail validée de kcl.ac.uk
Erik MarchiApple Inc.Adresse e-mail validée de tum.de
Stefan SteidlComputer Science Department 5 (Pattern Recognition), Friedrich-Alexander University ErlangenAdresse e-mail validée de cs.fau.de
Fabien RingevalAssociate Professor, Université Grenoble Alpes, LIG, FranceAdresse e-mail validée de imag.fr
Maja PanticProfessor, Imperial College London / AI Scientific Research Lead, Facebook LondonAdresse e-mail validée de imperial.ac.uk
Roddy CowiePsychology, Queen's UniversityAdresse e-mail validée de qub.ac.uk
Alice BairdUniversity of AugsburgAdresse e-mail validée de informatik.uni-augsburg.de
Michel ValstarProfessor in Automatic Human Behaviour Understanding, University of NottinghamAdresse e-mail validée de nottingham.ac.uk
Jun DengaudEERING, GermanyAdresse e-mail validée de tum.de
Kun Qian 钱昆 (Dr.-Ing., SMIEEE)JSPS Postdoctoral Research Fellow, The University of Tokyo, Technische Universität MünchenAdresse e-mail validée de p.u-tokyo.ac.jp
Simone HantkeUniversity of Augsburg & Technische Universität MünchenAdresse e-mail validée de tum.de
Stefanos ZafeiriouProfessor, Imperial College LondonAdresse e-mail validée de imperial.ac.uk
dino seppiAdresse e-mail validée de nuance.com
Jürgen GeigerHarman Becker Automotive Systems GmbHAdresse e-mail validée de tum.de
Laurence DevillersLIMSI-CNRS, Professor Paris-Sorbonne IVAdresse e-mail validée de limsi.fr

Björn Schuller

Professor of AI, Imperial College London & University of Augsburg & CSO, audEERING

Adresse e-mail validée de imperial.ac.uk - Page d'accueil

AI Deep Learning Digital Health Affective Computing Audio


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Opensmile: the munich versatile and fast open-source audio feature extractor F Eyben, M Wöllmer, B Schuller Proceedings of the 18th ACM international conference on Multimedia, 1459-1462, 2010	1785	2010
New avenues in opinion mining and sentiment analysis E Cambria, B Schuller, Y Xia, C Havasi IEEE Intelligent systems 28 (2), 15-21, 2013	1193	2013
Recent developments in opensmile, the munich open-source multimedia feature extractor F Eyben, F Weninger, F Gross, B Schuller Proceedings of the 21st ACM international conference on Multimedia, 835-838, 2013	970	2013
The interspeech 2009 emotion challenge B Schuller, S Steidl, A Batliner Tenth Annual Conference of the International Speech Communication Association, 2009	939	2009
Hidden Markov model-based speech emotion recognition B Schuller, G Rigoll, M Lang 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003	671	2003
The Geneva minimalistic acoustic parameter set (GeMAPS) for voice research and affective computing F Eyben, KR Scherer, BW Schuller, J Sundberg, E André, C Busso, ... IEEE transactions on affective computing 7 (2), 190-202, 2015	662	2015
Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge B Schuller, A Batliner, S Steidl, D Seppi Speech Communication 53 (9-10), 1062-1087, 2011	660	2011
Adieu features? end-to-end speech emotion recognition using a deep convolutional recurrent network G Trigeorgis, F Ringeval, R Brueckner, E Marchi, MA Nicolaou, B Schuller, ... 2016 IEEE international conference on acoustics, speech and signal …, 2016	611	2016
The INTERSPEECH 2013 computational paralinguistics challenge: Social signals, conflict, emotion, autism B Schuller, S Steidl, A Batliner, A Vinciarelli, K Scherer, F Ringeval, ... Proceedings INTERSPEECH 2013, 14th Annual Conference of the International …, 2013	603	2013
The INTERSPEECH 2010 paralinguistic challenge B Schuller, S Steidl, A Batliner, F Burkhardt, L Devillers, C Müller, ... Eleventh Annual Conference of the International Speech Communication Association, 2010	524	2010
Speech emotion recognition combining acoustic features and linguistic information in a hybrid support vector machine-belief network architecture B Schuller, G Rigoll, M Lang 2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004	470	2004
OpenEAR—introducing the Munich open-source emotion and affect recognition toolkit F Eyben, M Wöllmer, B Schuller 2009 3rd international conference on affective computing and intelligent …, 2009	433	2009
Speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR F Weninger, H Erdogan, S Watanabe, E Vincent, J Le Roux, JR Hershey, ... International conference on latent variable analysis and signal separation …, 2015	410	2015
Avec 2016: Depression, mood, and emotion recognition workshop and challenge M Valstar, J Gratch, B Schuller, F Ringeval, D Lalanne, M Torres Torres, ... Proceedings of the 6th international workshop on audio/visual emotion …, 2016	380	2016
Avec 2013: the continuous audio/visual emotion and depression recognition challenge M Valstar, B Schuller, K Smith, F Eyben, B Jiang, S Bilakhia, S Schnieder, ... Proceedings of the 3rd ACM international workshop on Audio/visual emotion …, 2013	347	2013
Avec 2013: the continuous audio/visual emotion and depression recognition challenge M Valstar, B Schuller, K Smith, F Eyben, B Jiang, S Bilakhia, S Schnieder, ... Proceedings of the 3rd ACM international workshop on Audio/visual emotion …, 2013	347	2013
Abandoning emotion classes-towards continuous emotion recognition with modelling of long-range dependencies M Wöllmer, F Eyben, S Reiter, B Schuller, C Cox, E Douglas-Cowie, ... Proc. 9th Interspeech 2008 incorp. 12th Australasian Int. Conf. on Speech …, 2008	338	2008
Avec 2011–the first international audio/visual emotion challenge B Schuller, M Valstar, F Eyben, G McKeown, R Cowie, M Pantic International Conference on Affective Computing and Intelligent Interaction …, 2011	325	2011
Cross-corpus acoustic emotion recognition: Variances and strategies B Schuller, B Vlasenko, F Eyben, M Wöllmer, A Stuhlsatz, A Wendemuth, ... IEEE Transactions on Affective Computing 1 (2), 119-131, 2010	323	2010
Categorical and dimensional affect analysis in continuous input: Current trends and future directions H Gunes, B Schuller Image and Vision Computing 31 (2), 120-136, 2013	307	2013

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