| AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition F Ringeval, B Schuller, M Valstar, N Cummins, R Cowie, L Tavabi, ... Proceedings of the 9th International on Audio/visual Emotion Challenge and …, 2019 | 207 | 2019 |
| The INTERSPEECH 2018 computational paralinguistics challenge: atypical and self-assessed affect, crying and heart beats B Schuller, S Steidl, A Batliner, PB Marschik, H Baumeister, F Dong, ... | 137 | 2018 |
| Deep Scalogram Representations for Acoustic Scene Classification Z Ren, K Qian, Z Zhang, V Pandit, A Baird, B Schuller IEEE/CAA Journal of Automatica Sinica 5 (3), 662-669, 2018 | 115 | 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, ... arXiv preprint arXiv:2005.00096, 2020 | 110 | 2020 |
| Exploring Deep Spectrum Representations via Attention-based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition Z Zhao, Z Bao, Y Zhao, Z Zhang, N Cummins, Z Ren, B Schuller IEEE Access, 2019 | 84 | 2019 |
| Attention-based Convolutional Neural Networks for Acoustic Scene Classification Z Ren, Q Kong, K Qian, MD Plumbley, BW Schuller DCASE Workshop, 39-43, 2018 | 72 | 2018 |
| 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 | 58 | 2018 |
| Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes Z Ren, Q Kong, J Han, M Plumbley, BW Schuller 2019 Proceedings IEEE International Conference on Acoustics, Speech and …, 2019 | 57 | 2019 |
| Deep sequential image features on acoustic scene classification Z Ren, V Pandit, K Qian, Z Yang, Z Zhang, B Schuller DCASE, 113-117, 2017 | 52 | 2017 |
| A comparison of acoustic and linguistics methodologies for Alzheimer’s dementia recognition N Cummins, Y Pan, Z Ren, J Fritsch, VS Nallanthighal, H Christensen, ... Interspeech 2020, 2182-2186, 2020 | 43 | 2020 |
| Wavelets revisited for the classification of acoustic scenes K Qian, Z Ren, V Pandit, Z Yang, Z Zhang, B Schuller DCASE, 108-112, 2017 | 41 | 2017 |
| EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings J Han, Z Zhang, Z Ren, B Schuller IEEE Transactions on Affective Computing, 2019 | 34 | 2019 |
| 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 Pattern Recognition: 7th Chinese Conference, CCPR 2016, Chengdu, China …, 2016 | 31 | 2016 |
| Machine Listening for Heart Status Monitoring: Introducing and Benchmarking HSS–the Heart Sounds Shenzhen Corpus F Dong, K Qian, Z Ren, A Baird, X Li, Z Dai, B Dong, F Metze, ... IEEE Journal of Biomedical and Health Informatics, 1--13, 2019 | 26 | 2019 |
| CAA-Net: Conditional atrous CNNs with attention for explainable device-robust acoustic scene classification Z Ren, Q Kong, J Han, MD Plumbley, BW Schuller IEEE Transactions on Multimedia 23, 4131-4142, 2020 | 25 | 2020 |
| Generating and Protecting Against Adversarial Attacks for Deep Speech-based Emotion Recognition Models Z Ren, A Baird, J Han, Z Zhang, B Schuller Proc. ICASSP, 2020 | 25 | 2020 |
| Towards conditional adversarial training for predicting emotions from speech J Han, Z Zhang, Z Ren, F Ringeval, B Schuller 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 24 | 2018 |
| Implicit fusion by joint audiovisual training for emotion recognition in mono modality J Han, Z Zhang, Z Ren, B Schuller ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 23 | 2019 |
| Computer Audition for Fighting the SARS-CoV-2 Corona Crisis -- Introducing the Multi-task Speech Corpus for COVID-19 K Qian, M Schmitt, H Zheng, T Koike, J Han, J Liu, W Ji, J Duan, M Song, ... IEEE Internet of Things Journal, 2021 | 20 | 2021 |
| Bags in bag: Generating context-aware bags for tracking emotions from speech J Han, Z Zhang, M Schmitt, Z Ren, F Ringeval, B Schuller Interspeech 2018, 3082-3086, 2018 | 16 | 2018 |
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERING在 imperial.ac.uk 的电子邮件经过验证
