| 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 |
| 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 | 20 | 2021 |
| Adventitious respiratory classification using attentive residual neural networks Z Yang, S Liu, M Song, E Parada-Cabaleiro, BW Schuller | 20 | 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 | 20 | 2019 |
| 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 | 12 | 2021 |
| 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 | 5 | 2022 |
| 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 | 3 | 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 | 3 | 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 | 3 | 2022 |
| 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 | 3 | 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 |
| 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 | 2 | 2022 |
| Supervised contrastive learning for game-play frustration detection from speech M Song, E Parada-Cabaleiro, S Liu, M Milling, A Baird, Z Yang, ... Universal Access in Human-Computer Interaction. Design Methods and User …, 2021 | 2 | 2021 |
| Daily Mental Health Monitoring from Speech: A Real-World Japanese Dataset and Multitask Learning Analysis M Song, A Triantafyllopoulos, Z Yang, H Takeuchi, T Nakamura, A Kishi, ... ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
| Interaction with the soundscape: exploring emotional audio generation for improved individual wellbeing A Baird, M Song, B Schuller Artificial Intelligence in HCI: First International Conference, AI-HCI 2020 …, 2020 | 1 | 2020 |
| A Temporal-oriented Broadcast ResNet for COVID-19 Detection X Jing, S Liu, E Parada-Cabaleiro, A Triantafyllopoulos, M Song, Z Yang, ... 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics …, 2022 | | 2022 |
| Self-Supervised Attention Networks and Uncertainty Loss Weighting for Multi-Task Emotion Recognition on Vocal Bursts V Karas, A Triantafyllopoulos, M Song, BW Schuller arXiv preprint arXiv:2209.07384, 2022 | | 2022 |
| Identifying Languages in a Novel Dataset: ASMR-Whispered Speech M Song, Z Yang, E Parada-Cabaleiro, Y Yamamoto, BW Schuller Frontiers in Neuroscience 17, 1004, 0 | | |
| 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
