| 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 | 2007 | 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 | 1282 | 2013 |
| 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 | 1055 | 2013 |
| The interspeech 2009 emotion challenge B Schuller, S Steidl, A Batliner | 1013 | 2009 |
| 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 | 809 | 2015 |
| Hidden Markov model-based speech emotion recognition B Schuller, G Rigoll, M Lang 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 713 | 2003 |
| 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 | 708 | 2016 |
| 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 | 693 | 2011 |
| 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 | 659 | 2013 |
| 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 | 569 | 2010 |
| 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 | 501 | 2004 |
| Speech enhancement with LSTM recurrent neural networks and its application to noise-robust ASR F Weninger, H Erdogan, S Watanabe, E Vincent, J Le Roux, JR Hershey, ... International conference on latent variable analysis and signal separation …, 2015 | 470 | 2015 |
| 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 | 448 | 2009 |
| 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 | 431 | 2016 |
| 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 | 390 | 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 | 390 | 2013 |
| 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 | 350 | 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, ... Proc. 9th Interspeech 2008 incorp. 12th Australasian Int. Conf. on Speech …, 2008 | 345 | 2008 |
| 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 | 335 | 2017 |
| 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 | 335 | 2013 |
Florian EybenaudEERING GmbHVerified email at tum.de
