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Björn Schuller
Björn Schuller
Professor of AI, Imperial College London & University of Augsburg & CSO, audEERING
Geverifieerd e-mailadres voor imperial.ac.uk - Homepage
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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
22162010
New avenues in opinion mining and sentiment analysis
E Cambria, B Schuller, Y Xia, C Havasi
IEEE Intelligent systems 28 (2), 15-21, 2013
13592013
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
11322013
The interspeech 2009 emotion challenge
B Schuller, S Steidl, A Batliner
10752009
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
9702015
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
7932016
Hidden Markov model-based speech emotion recognition
B Schuller, G Rigoll, M Lang
2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003
7562003
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
7182011
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
7052013
The INTERSPEECH 2010 paralinguistic challenge
B Schuller, S Steidl, A Batliner, F Burkhardt, L Devillers, C Müller, ...
Proc. INTERSPEECH 2010, Makuhari, Japan, 2794-2797, 2010
6192010
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
5312004
Speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR
F Weninger, H Erdogan, S Watanabe, E Vincent, JL Roux, JR Hershey, ...
International conference on latent variable analysis and signal separation …, 2015
5182015
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
4932016
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
4692009
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
4342013
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
4342013
End-to-end multimodal emotion recognition using deep neural networks
P Tzirakis, G Trigeorgis, MA Nicolaou, BW Schuller, S Zafeiriou
IEEE Journal of selected topics in signal processing 11 (8), 1301-1309, 2017
4132017
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
3742014
Sparse autoencoder-based feature transfer learning for speech emotion recognition
J Deng, Z Zhang, E Marchi, B Schuller
2013 humaine association conference on affective computing and intelligent …, 2013
3742013
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
3712010
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Artikelen 1–20