| 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 | 229 | 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 | 165 | 2014 |
| Unsupervised learning in cross-corpus acoustic emotion recognition Z Zhang, F Weninger, M Wöllmer, B Schuller 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 523-528, 2011 | 94 | 2011 |
| Cooperative Learning and its Application to Emotion Recognition from Speech Z Zhang, E Coutinho, J Deng, B Schuller IEEE Transactions on Audio, Speech and Language Processing 23 (1), 115-126, 2015 | 82 | 2015 |
| Robust Speech Recognition using Long Short-Term Memory Recurrent Neural Networks for Hybrid Acoustic Modelling JT Geiger, Z Zhang, F Weninger, B Schuller, G Rigoll INTERSPEECH, 2014 | 66 | 2014 |
| Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments Z Zhang, J Geiger, J Pohjalainen, AED Mousa, W Jin, B Schuller ACM Transactions on Intelligent Systems and Technology (TIST), 28 pages, 2018 | 65 | 2018 |
| Semi-supervised learning helps in sound event classification Z Zhang, B Schuller 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 60 | 2012 |
| Using multiple databases for training in emotion recognition: To unite or to vote? B Schuller, Z Zhang, F Weninger, G Rigoll Twelfth Annual Conference of the International Speech Communication Association, 2011 | 57 | 2011 |
| Introducing Shared-Hidden-Layer Autoencoders for Transfer Learning and their Application in Acoustic Emotion Recognition J Deng, R Xia, Z Zhang, Y Liu, B Schuller Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International …, 2014 | 45 | 2014 |
| Universum autoencoder-based domain adaptation for speech emotion recognition J Deng, X Xu, Z Zhang, S Frühholz, B Schuller IEEE Signal Processing Letters 24 (4), 500-504, 2017 | 42 | 2017 |
| Semisupervised autoencoders for speech emotion recognition J Deng, X Xu, Z Zhang, S Fruhholz, B Schuller IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 26 (1 …, 2018 | 39 | 2018 |
| Active learning by sparse instance tracking and classifier confidence in acoustic emotion recognition Z Zhang, B Schuller Thirteenth Annual Conference of the International Speech Communication …, 2012 | 38 | 2012 |
| Automatic recognition of emotion evoked by general sound events B Schuller, S Hantke, F Weninger, W Han, Z Zhang, S Narayanan 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 36 | 2012 |
| Advanced Data Exploitation for Speech Analysis -- An Overview Z Zhang, N Cummins, B Schuller IEEE Signal Processing Magazine 34 (4), 107--129, 2017 | 34 | 2017 |
| 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 Proc. INTERSPEECH, 5 pages, 2016 | 33 | 2016 |
| ENHANCED SEMI-SUPERVISED LEARNING FOR MULTIMODAL EMOTION RECOGNITION Z Zhang, F Ringeval, B Dong, E Coutinho, E Marchi, B Schuller Proc. of ICASSP, 2016 | 33 | 2016 |
| Selecting training data for cross-corpus speech emotion recognition: Prototypicality vs. generalization B Schuller, Z Zhang, F Weninger, G Rigoll Proc. Afeka-AVIOS Speech Processing Conference, Tel Aviv, Israel, 2011 | 33 | 2011 |
| Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multi-Feature Analysis K Qian, C Janott, V Pandit, Z Zhang, C Heiser, W Hohenhorst, M Herzog, ... IEEE Transactions on Biomedical Engineering, 2016 | 31 | 2016 |
| Feature enhancement by bidirectional LSTM networks for conversational speech recognition in highly non-stationary noise M Wöllmer, Z Zhang, F Weninger, B Schuller, G Rigoll 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 31 | 2013 |
| From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty J Han, Z Zhang, M Schmitt, B Schuller Proc. of ACM International Conference on Multimedia (MM), 2017 | 30 | 2017 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGBestätigte E-Mail-Adresse bei imperial.ac.uk
