| 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 | 80 | 2020 |
| Audiovisual analysis for recognising frustration during game-play: introducing the multimodal game frustration database M Song, Z Yang, A Baird, E Parada-Cabaleiro, Z Zhang, Z Zhao, ... 2019 8th international conference on affective computing and intelligent …, 2019 | 15 | 2019 |
| Computer Audition for Fighting the SARS-CoV-2 Corona Crisis—Introducing the Multitask 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 8 (21), 16035-16046, 2021 | 12 | 2021 |
| Adventitious respiratory classification using attentive residual neural networks Z Yang, S Liu, M Song, E Parada-Cabaleiro, BW Schuller | 11 | 2020 |
| Frustration recognition from speech during game interaction using wide residual networks M Song, A Mallol-Ragolta, E Parada-Cabaleiro, Z Yang, S Liu, Z Ren, ... Virtual Reality & Intelligent Hardware 3 (1), 76-86, 2021 | 6 | 2021 |
| Coughing-based recognition of Covid-19 with spatial attentive ConvLSTM recurrent neural networks T Yan, H Meng, E Parada-Cabaleiro, S Liu, M Song, BW Schuller | 3 | 2021 |
| Predicting group work performance from physical handwriting features in a smart English classroom M Song, K Qian, B Chen, K Okabayashi, E Parada-Cabaleiro, Z Yang, ... 2021 5th International Conference on Digital Signal Processing, 140-145, 2021 | 2 | 2021 |
| Interaction with the soundscape: exploring emotional audio generation for improved individual wellbeing A Baird, M Song, B Schuller International Conference on Human-Computer Interaction, 229-242, 2020 | 1 | 2020 |
| Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression M Song, Z Yang, A Triantafyllopoulos, X Jing, V Karas, X Jiangjian, ... arXiv preprint arXiv:2206.11049, 2022 | | 2022 |
| COVYT: Introducing the Coronavirus YouTube and TikTok speech dataset featuring the same speakers with and without infection A Triantafyllopoulos, A Semertzidou, M Song, FB Pokorny, BW Schuller arXiv preprint arXiv:2206.11045, 2022 | | 2022 |
| Redundancy Reduction Twins Network: A Training framework for Multi-output Emotion Regression X Jing, M Song, A Triantafyllopoulos, Z Yang, BW Schuller arXiv preprint arXiv:2206.09142, 2022 | | 2022 |
| Exploring speaker enrolment for few-shot personalisation in emotional vocalisation prediction A Triantafyllopoulos, M Song, Z Yang, X Jing, BW Schuller arXiv preprint arXiv:2206.06680, 2022 | | 2022 |
| A Temporal-oriented Broadcast ResNet for COVID-19 Detection X Jing, S Liu, E Parada-Cabaleiro, A Triantafyllopoulos, M Song, Z Yang, ... arXiv preprint arXiv:2203.17012, 2022 | | 2022 |
| An Overview & Analysis of Sequence-to-Sequence Emotional Voice Conversion Z Yang, X Jing, A Triantafyllopoulos, M Song, I Aslan, BW Schuller arXiv preprint arXiv:2203.15873, 2022 | | 2022 |
| Supervised contrastive learning for game-play frustration detection from speech M Song, E Parada-Cabaleiro, S Liu, M Milling, A Baird, Z Yang, ... International Conference on Human-Computer Interaction, 617-629, 2021 | | 2021 |
| Parallelising 2D-CNNs and Transformers: A Cognitive based approach for Automatic Recognition of Learners’ English Proficiency M Song, E Parada-Cabaleiro, Z Yang, X Jing | | |
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
