Florian Eyben

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Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGPotvrđena adresa e-pošte na tum.de
Martin WöllmerBMW AG, audEERINGPotvrđena adresa e-pošte na audeering.com
Felix WeningerMicrosoftPotvrđena adresa e-pošte na microsoft.com
Anton BatlinerTUM/MRI Munich / FAU ErlangenPotvrđena adresa e-pošte na cs.fau.de
Maja PanticFacebook (United States) / Imperial College LondonPotvrđena adresa e-pošte na imperial.ac.uk
Erik MarchiApple Inc.Potvrđena adresa e-pošte na tum.de
Roddy CowiePsychology, Queen's UniversityPotvrđena adresa e-pošte na qub.ac.uk
Stefan SteidlComputer Science Department 5 (Pattern Recognition), Friedrich-Alexander University ErlangenPotvrđena adresa e-pošte na cs.fau.de
Felix BurkhardtaudEERINGPotvrđena adresa e-pošte na audeering.com
Michel ValstarProfessor in Automatic Human Behaviour Understanding, University of NottinghamPotvrđena adresa e-pošte na nottingham.ac.uk
Alex GravesUniversity of TorontoPotvrđena adresa e-pošte na cs.toronto.edu
Fabien RingevalAssociate Professor, Université Grenoble Alpes, LIG, FrancePotvrđena adresa e-pošte na imag.fr
stefano squartiniFull Professor in Electrical Engineering, Università Politecnica delle MarchePotvrđena adresa e-pošte na univpm.it
Alessandro VinciarelliFull Professor at University of Glasgow - School of Computing SciencePotvrđena adresa e-pošte na dcs.gla.ac.uk
Shrikanth (Shri) NarayananUniversity Professor and Niki & Max Nikias Chair in Engineering, University of Southern CaliforniaPotvrđena adresa e-pošte na sipi.usc.edu
Marcello MortillaroSenior Scientist, Swiss Center for Affective Sciences, University of GenevaPotvrđena adresa e-pošte na unige.ch
Jun DengaudEERING, GermanyPotvrđena adresa e-pošte na tum.de
Hatice GunesFull Professor of Affective Intelligence & Robotics, University of Cambridge; EPSRC FellowPotvrđena adresa e-pošte na cl.cam.ac.uk
Julien EppsProfessor, The University of New South WalesPotvrđena adresa e-pošte na unsw.edu.au
Elisabeth AndreProfessor of Computer Sciences, Augsburg UniversityPotvrđena adresa e-pošte na informatik.uni-augsburg.de

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Florian Eyben

audEERING GmbH

Potvrđena adresa e-pošte na tum.de - Početna stranica

Emotion Recognition Affective Computing Signal Processing Speech Recognition Machine Learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	3527	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	1935	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	1492	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	951	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	635	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	560	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	552	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	485	2010
Avec 2011–the first international audio/visual emotion challenge B Schuller, M Valstar, F Eyben, G McKeown, R Cowie, M Pantic Affective Computing and Intelligent Interaction: Fourth International …, 2011	393	2011
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, ...	391	2008
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	365	2012
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	364	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
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	350	2013
The interspeech 2012 speaker trait challenge B Schuller, S Steidl, A Batliner, E Nöth, A Vinciarelli, F Burkhardt, ... INTERSPEECH 2012, Portland, OR, USA, 2012	332	2012
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	331	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	327	2023
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	319	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	317	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	301	2013

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