| 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 | 564 | 2013 |
| 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 | 525 | 2016 |
| 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 | 267 | 2013 |
| An investigation of the ‘female camouflage effect’in autism using a computerized ADOS-2 and a test of sex/gender differences A Rynkiewicz, B Schuller, E Marchi, S Piana, A Camurri, A Lassalle, ... Molecular Autism 7 (1), 10, 2016 | 192 | 2016 |
| An investigation of the ‘female camouflage effect’in autism using a computerized ADOS-2 and a test of sex/gender differences A Rynkiewicz, B Schuller, E Marchi, S Piana, A Camurri, A Lassalle, ... Molecular autism 7 (1), 10, 2016 | 192 | 2016 |
| AV+ EC 2015: The First Affect Recognition Challenge Bridging Across Audio, Video, and Physiological Data F Ringeval, B Schuller, M Valstar, S Jaiswal, E Marchi, D Lalanne, ... Proceedings of the 5th International Workshop on Audio/Visual Emotion …, 2015 | 160 | 2015 |
| Av+ ec 2015: The first affect recognition challenge bridging across audio, video, and physiological data F Ringeval, B Schuller, M Valstar, S Jaiswal, E Marchi, D Lalanne, ... Proceedings of the 5th International Workshop on Audio/Visual Emotion …, 2015 | 160 | 2015 |
| 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 | 159 | 2015 |
| The INTERSPEECH 2014 computational paralinguistics challenge: Cognitive & physical load B Schuller, S Steidl, A Batliner, J Epps, F Eyben, F Ringeval, E Marchi, ... Proc. Interspeech, Singapore, Singapore, 2014 | 135* | 2014 |
| Multi-resolution Linear Prediction Based Features for Audio Onset Detection with Bidirectional LSTM Neural Networks E Marchi, G Ferroni, F Eyben, L Gabrielli, S Squartini, B Schuller Proceedings 39th IEEE International Conference on Acoustics, Speech, and …, 2014 | 81 | 2014 |
| ASC-Inclusion: Integrated Internet-Based Environment for Social Inclusion of Children with Autism Spectrum Conditions B Schuller, E Marchi, S Baron-Cohen, H O’Rielly, P Robinson, I Davies, ... | 55* | 2013 |
| Non-linear prediction with lstm recurrent neural networks for acoustic novelty detection E Marchi, F Vesperini, F Weninger, F Eyben, S Squartini, B Schuller 2015 International Joint Conference on Neural Networks (IJCNN), 1-7, 2015 | 50 | 2015 |
| Deep recurrent neural network-based autoencoders for acoustic novelty detection E Marchi, F Vesperini, S Squartini, B Schuller Computational intelligence and neuroscience 2017, 2017 | 48 | 2017 |
| Enhanced semi-supervised learning for multimodal emotion recognition Z Zhang, F Ringeval, B Dong, E Coutinho, E Marchi, B Schuller Proc. of the 41st IEEE International Conference on Acoustics, Speech and …, 2016 | 44 | 2016 |
| Facing realism in spontaneous emotion recognition from speech: Feature enhancement by autoencoder with LSTM neural networks Z Zhang, F Ringeval, J Han, J Deng, E Marchi, B Schuller 17th Annual Conference of the International Speech Communication Association …, 2016 | 40 | 2016 |
| Emotion in the Speech of Children with Autism Spectrum Conditions: Prosody and Everything Else E Marchi, B Schuller, A Batliner, S Fridenzon, S Tal, O Golan 3rd Workshop on Child, Computer and Interaction (WOCCI 2012), Satellite …, 2012 | 38 | 2012 |
| Discriminatively trained recurrent neural networks for continuous dimensional emotion recognition from audio F Weninger, F Ringeval, E Marchi, B Schuller Proc. International Joint Conference on Artificial Intelligence (IJCAI), New …, 2016 | 37 | 2016 |
| Speech, emotion, age, language, task, and typicality: Trying to disentangle performance and feature relevance E Marchi, A Batliner, B Schuller, S Fridenzon, S Tal, O Golan Privacy, Security, Risk and Trust (PASSAT), 2012 International Conference on …, 2012 | 30 | 2012 |
| Typicality and Emotion in the Voice of Children with Autism Spectrum Condition: Evidence Across Three Languages E Marchi, B Schuller, S Baron-Cohen, O Golan, S Bölte, P Arora, ... Sixteenth Annual Conference of the International Speech Communication …, 2015 | 29 | 2015 |
| Pairwise decomposition with deep neural networks and multiscale kernel subspace learning for acoustic scene classification E Marchi, D Tonelli, X Xu, F Ringeval, J Deng, S Squartini, B Schuller Proceedings of the Detection and Classification of Acoustic Scenes and …, 2016 | 28 | 2016 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
