Björn Schuller - Citas de Google Académico

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Florian EybenaudEERING GmbHDirección de correo verificada de tum.de
Felix WeningerNuance CommunicationsDirección de correo verificada de nuance.com
Martin WöllmerBMW AG, audEERINGDirección de correo verificada de audeering.com
Anton BatlinerUniversity of Augsburg / FAU ErlangenDirección de correo verificada de cs.fau.de
Stefan SteidlComputer Science Department 5 (Pattern Recognition), Friedrich-Alexander University ErlangenDirección de correo verificada de cs.fau.de
Zixing ZhangHuawei Technologies Research & Development (UK) LtdDirección de correo verificada de tum.de
Erik MarchiApple Inc.Dirección de correo verificada de tum.de
Fabien RingevalAssociate Professor, Université Grenoble Alpes, LIG, FranceDirección de correo verificada de imag.fr
Maja PanticProfessor, Imperial College London / Research Director, Samsung AI Research Centre, CambridgeDirección de correo verificada de imperial.ac.uk
Nicholas CumminsUniversität AugsburgDirección de correo verificada de ieee.org
Roddy CowiePsychology, Queen's UniversityDirección de correo verificada de qub.ac.uk
Jun DengaudEERING, GermanyDirección de correo verificada de tum.de
Michel ValstarAssociate Professor, University of NottinghamDirección de correo verificada de nottingham.ac.uk
dino seppiDirección de correo verificada de nuance.com
Alice BairdUniversity of AugsburgDirección de correo verificada de informatik.uni-augsburg.de
Jürgen GeigerResearch Engineer, Huawei European Research Center, MunichDirección de correo verificada de tum.de
laurence devillersLIMSI-CNRS, Professor Paris-Sorbonne IVDirección de correo verificada de limsi.fr
Kun Qian 钱昆JSPS Postdoctoral Research Fellow, The University of Tokyo, Technical University of MunichDirección de correo verificada de p.u-tokyo.ac.jp
Simone HantkeUniversity of Augsburg & Technische Universität MünchenDirección de correo verificada de tum.de
Eduardo CoutinhoUniversity of Liverpool and University of ManchesterDirección de correo verificada de liverpool.ac.uk

Björn Schuller

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

Dirección de correo verificada de imperial.ac.uk - Página principal

Deep Learning Audio Signal Processing Affective Computing Digital Health mHealth


Título	Citado por	Año
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	1368	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	962	2013
The interspeech 2009 emotion challenge B Schuller, S Steidl, A Batliner Tenth Annual Conference of the International Speech Communication Association, 2009	781	2009
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	756	2013
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	589	2011
Hidden Markov model-based speech emotion recognition B Schuller, G Rigoll, M Lang 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003	549	2003
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	468	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	435	2010
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	421	2015
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	387	2004
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	385	2016
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	385	2009
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	299	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	295	2011
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	270	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	270	2013
Cross-corpus acoustic emotion recognition: Variances and strategies B Schuller, B Vlasenko, F Eyben, M Wollmer, A Stuhlsatz, A Wendemuth, ... IEEE Transactions on Affective Computing 1 (2), 119-131, 2010	268	2010
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	265	2016
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	263	2013
AVEC 2012: the continuous audio/visual emotion challenge B Schuller, M Valster, F Eyben, R Cowie, M Pantic Proceedings of the 14th ACM international conference on Multimodal …, 2012	254	2012

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