| SEWA DB: A rich database for audio-visual emotion and sentiment research in the wild J Kossaifi, R Walecki, Y Panagakis, J Shen, M Schmitt, F Ringeval, J Han, ... IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019 | 46 | 2019 |
| 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 | 42 | 2016 |
| From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty J Han, Z Zhang, M Schmitt, M Pantic, B Schuller ACM Multimedia, 890-897, 2017 | 41 | 2017 |
| Prediction-based learning for continuous emotion recognition in speech J Han, Z Zhang, F Ringeval, B Schuller 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 35 | 2017 |
| Strength modelling for real-world automatic continuous affect recognition from audiovisual signals J Han, Z Zhang, N Cummins, F Ringeval, B Schuller Image and Vision Computing 65, 76-86, 2017 | 34 | 2017 |
| Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives J Han, Z Zhang, N Cummins, B Schuller IEEE Computational Intelligence Magazine, 2019 | 32 | 2019 |
| Cross lingual speech emotion recognition using canonical correlation analysis on principal component subspace H Sagha, J Deng, M Gavryukova, J Han, B Schuller 2016 IEEE international conference on acoustics, speech and signal …, 2016 | 32 | 2016 |
| The university of passau open emotion recognition system for the multimodal emotion challenge J Deng, N Cummins, J Han, X Xu, Z Ren, V Pandit, Z Zhang, B Schuller Chinese Conference on Pattern Recognition, 652-666, 2016 | 25 | 2016 |
| Reconstruction-error-based learning for continuous emotion recognition in speech J Han, Z Zhang, F Ringeval, B Schuller 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 23 | 2017 |
| Leveraging Unlabelled Data for Emotion Recognition with Enhanced Collaborative Semi-Supervised Learning Z Zhang, J Han, J Deng, X Xu, F Ringeval, B Schuller IEEE Access 6, 22196-22209, 2018 | 22 | 2018 |
| Exploring Automatic Diagnosis of COVID-19 from Crowdsourced Respiratory Sound Data C Brown, J Chauhan, A Grammenos, J Han, A Hasthanasombat, ... arXiv preprint arXiv:2006.05919, 2020 | 20 | 2020 |
| Learning image-based representations for heart sound classification Z Ren, N Cummins, V Pandit, J Han, K Qian, B Schuller Proceedings of the 2018 International Conference on Digital Health, 143-147, 2018 | 19 | 2018 |
| Attention-based Atrous Convolutional Neural Networks: Visualisation AND Understanding Perspectives of Acoustic Scenes Z Ren, Q Kong, J Han, M Plumbley, BW Schuller ICASSP 2019- 2019 Proceedings IEEE International Conference on Acoustics …, 2019 | 18 | 2019 |
| Dynamic Difficulty Awareness Training for Continuous Emotion Prediction Z Zhang, J Han, E Coutinho, B Schuller IEEE Transactions on Multimedia 20, 2018 | 17 | 2018 |
| Towards conditional adversarial training for predicting emotions from speech J Han, Z Zhang, Z Ren, F Ringeval, B Schuller Proc. IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 16 | 2018 |
| An Early Study on Intelligent Analysis of Speech under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety J Han, K Qian, M Song, Z Yang, Z Ren, S Liu, J Liu, H Zheng, W Ji, ... Proc. INTERSPEECH, 4946-4950, 2020 | 13 | 2020 |
| Snore-GANs: Improving Automatic Snore Sound Classification with Synthesised Data Z Zhang, J Han, K Qian, C Janott, Y Guo, B Schuller IEEE Journal of Biomedical and Health Informatics, 11 pages, 2019 | 11 | 2019 |
| Learning audio sequence representations for acoustic event classification Z Zhang, D Liu, J Han, B Schuller arXiv preprint arXiv:1707.08729, 2017 | 11 | 2017 |
| ExPerio—exploiting periodicity for opportunistic energy-efficient data transmission P Kindt, H Jing, N Peters, S Chakraborty 2015 IEEE Conference on Computer Communications (INFOCOM), 82-90, 2015 | 11 | 2015 |
| Scaling Speech Enhancement in Unseen Environments with Noise Embeddings G Keren, J Han, B Schuller Proceedings The 5th International Workshop on Speech Processing in Everyday …, 2018 | 10 | 2018 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
