Florian Eyben

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Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGPatvirtintas el. paštas tum.de
Martin WöllmerBMW AG, audEERINGPatvirtintas el. paštas audeering.com
Felix WeningerMicrosoftPatvirtintas el. paštas microsoft.com
Anton BatlinerTUM/MRI Munich / FAU ErlangenPatvirtintas el. paštas cs.fau.de
Maja PanticFacebook (United States) / Imperial College LondonPatvirtintas el. paštas imperial.ac.uk
Erik MarchiApple Inc.Patvirtintas el. paštas tum.de
Roddy CowiePsychology, Queen's UniversityPatvirtintas el. paštas qub.ac.uk
Stefan SteidlComputer Science Department 5 (Pattern Recognition), Friedrich-Alexander University ErlangenPatvirtintas el. paštas cs.fau.de
Felix BurkhardtaudEERINGPatvirtintas el. paštas audeering.com
Michel ValstarProfessor in Automatic Human Behaviour Understanding, University of NottinghamPatvirtintas el. paštas nottingham.ac.uk
Alex GravesUniversity of TorontoPatvirtintas el. paštas cs.toronto.edu
Fabien RingevalAssociate Professor, Université Grenoble Alpes, LIG, FrancePatvirtintas el. paštas imag.fr
stefano squartiniFull Professor in Electrical Engineering, Università Politecnica delle MarchePatvirtintas el. paštas univpm.it
Alessandro VinciarelliFull Professor at University of Glasgow - School of Computing SciencePatvirtintas el. paštas dcs.gla.ac.uk
Shrikanth (Shri) NarayananUniversity Professor and Niki & Max Nikias Chair in Engineering, University of Southern CaliforniaPatvirtintas el. paštas sipi.usc.edu
Marcello MortillaroSenior Scientist, Swiss Center for Affective Sciences, University of GenevaPatvirtintas el. paštas unige.ch
Jun DengaudEERING, GermanyPatvirtintas el. paštas tum.de
Hatice GunesFull Professor of Affective Intelligence & Robotics, University of Cambridge; EPSRC FellowPatvirtintas el. paštas cl.cam.ac.uk
Julien EppsProfessor, The University of New South WalesPatvirtintas el. paštas unsw.edu.au
Elisabeth AndreProfessor of Computer Sciences, Augsburg UniversityPatvirtintas el. paštas informatik.uni-augsburg.de

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Florian Eyben

audEERING GmbH

Patvirtintas el. paštas tum.de - Pagrindinis puslapis

Emotion Recognition Affective Computing Signal Processing Speech Recognition Machine Learning


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
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	3562	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	1959	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	1500	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	655	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	564	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	492	2010
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	389	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, ...	389	2008
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	366	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	360	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	346	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	340	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	338	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	331	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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