Florian Eyben

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Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGVerificeret mail på tum.de
Martin WöllmerBMW AG, audEERINGVerificeret mail på audeering.com
Felix WeningerMicrosoftVerificeret mail på microsoft.com
Anton BatlinerTUM/MRI Munich / FAU ErlangenVerificeret mail på cs.fau.de
Maja PanticFacebook (United States) / Imperial College LondonVerificeret mail på imperial.ac.uk
Erik MarchiApple Inc.Verificeret mail på tum.de
Roddy CowiePsychology, Queen's UniversityVerificeret mail på qub.ac.uk
Stefan SteidlComputer Science Department 5 (Pattern Recognition), Friedrich-Alexander University ErlangenVerificeret mail på cs.fau.de
Felix BurkhardtaudEERINGVerificeret mail på audeering.com
Michel ValstarProfessor in Automatic Human Behaviour Understanding, University of NottinghamVerificeret mail på nottingham.ac.uk
Alex GravesUniversity of TorontoVerificeret mail på cs.toronto.edu
Fabien RingevalAssociate Professor, Université Grenoble Alpes, LIG, FranceVerificeret mail på imag.fr
stefano squartiniFull Professor in Electrical Engineering, Università Politecnica delle MarcheVerificeret mail på univpm.it
Alessandro VinciarelliFull Professor at University of Glasgow - School of Computing ScienceVerificeret mail på dcs.gla.ac.uk
Shrikanth (Shri) NarayananUniversity Professor and Niki & Max Nikias Chair in Engineering, University of Southern CaliforniaVerificeret mail på sipi.usc.edu
Marcello MortillaroSenior Scientist, Swiss Center for Affective Sciences, University of GenevaVerificeret mail på unige.ch
Jun DengaudEERING, GermanyVerificeret mail på tum.de
Hatice GunesFull Professor of Affective Intelligence & Robotics, University of Cambridge; EPSRC FellowVerificeret mail på cl.cam.ac.uk
Julien EppsProfessor, The University of New South WalesVerificeret mail på unsw.edu.au
Elisabeth AndreProfessor of Computer Sciences, Augsburg UniversityVerificeret mail på informatik.uni-augsburg.de

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Florian Eyben

audEERING GmbH

Verificeret mail på tum.de - Startside

Emotion Recognition Affective Computing Signal Processing Speech Recognition Machine Learning


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	3548	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	1949	2015
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	1495	2013
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	963	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	652	2013
Avec 2014: 3d dimensional affect and depression recognition challenge M Valstar, B Schuller, K Smith, T Almaev, F Eyben, J Krajewski, R Cowie, ... Proceedings of the 4th international workshop on audio/visual emotion …, 2014	562	2014
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	550	2009
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	490	2010
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, ...	389	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	388	2011
Deep neural networks for acoustic emotion recognition: Raising the benchmarks A Stuhlsatz, C Meyer, F Eyben, T Zielke, G Meier, B Schuller 2011 IEEE international conference on acoustics, speech and signal …, 2011	365	2011
Acoustic emotion recognition: A benchmark comparison of performances B Schuller, B Vlasenko, F Eyben, G Rigoll, A Wendemuth 2009 IEEE workshop on automatic speech recognition & understanding, 552-557, 2009	361	2009
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	359	2012
LSTM-modeling of continuous emotions in an audiovisual affect recognition framework M Wöllmer, M Kaiser, F Eyben, B Schuller, G Rigoll Image and Vision Computing 31 (2), 153-163, 2013	345	2013
Autoencoder-based unsupervised domain adaptation for speech emotion recognition J Deng, Z Zhang, F Eyben, B Schuller IEEE Signal Processing Letters 21 (9), 1068-1072, 2014	339	2014
Dawn of the transformer era in speech emotion recognition: closing the valence gap J Wagner, A Triantafyllopoulos, H Wierstorf, M Schmitt, F Burkhardt, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (9), 10745 …, 2023	336	2023
The interspeech 2012 speaker trait challenge B Schuller, S Steidl, A Batliner, E Nöth, A Vinciarelli, F Burkhardt, ... INTERSPEECH 2012, Portland, OR, USA, 2012	334	2012
On the acoustics of emotion in audio: what speech, music, and sound have in common F Weninger, F Eyben, BW Schuller, M Mortillaro, KR Scherer Frontiers in psychology 4, 292, 2013	326	2013
A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks E Marchi, F Vesperini, F Eyben, S Squartini, B Schuller 2015 IEEE international conference on acoustics, speech and signal …, 2015	320	2015
Real-life voice activity detection with lstm recurrent neural networks and an application to hollywood movies F Eyben, F Weninger, S Squartini, B Schuller 2013 IEEE international conference on acoustics, speech and signal …, 2013	302	2013

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