| 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 | 130 | 2020 |
| Adventitious respiratory classification using attentive residual neural networks Z Yang, S Liu, M Song, E Parada-Cabaleiro, BW Schuller | 37 | 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 | 35 | 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 | 29 | 2021 |
| 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 | 24 | 2021 |
| 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 | 15 | 2022 |
| 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 | 11 | 2023 |
| 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 | 8 | 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 | 8 | 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 | 6 | 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 | 6 | 2022 |
| An Early Study on Intelligent Analysis of Speech under COVID-19: Severity J Han, K Qian, M Song, Z Yang, Z Ren, S Liu, J Liu, H Zheng, W Ji, ... Sleep Quality, Fatigue, and Anxiety. arXiv preprint arXiv 200500096, 2020 | 6 | 2020 |
| 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 | 5 | 2021 |
| 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 | 5 | 2020 |
| Crossmodal Transformer on Multi-Physical Signals for Personalised Daily Mental Health Prediction M Song, Z Yang, A Triantafyllopoulos, T Nakamura, Y Zhang, Z Ren, ... 2023 IEEE International Conference on Data Mining Workshops (ICDMW), 1299-1305, 2023 | 4 | 2023 |
| 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 | 4 | 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, ... Proceedings of the 2021 5th International Conference on Digital Signal …, 2021 | 4 | 2021 |
| 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 | 2 | 2021 |
| Introducing the COVID-19 YouTube (COVYT) speech dataset featuring the same speakers with and without infection A Triantafyllopoulos, A Semertzidou, M Song, FB Pokorny, BW Schuller Biomedical Signal Processing and Control 88, 105642, 2024 | 1 | 2024 |
| Identifying languages in a novel dataset: ASMR-whispered speech M Song, Z Yang, E Parada-Cabaleiro, X Jing, Y Yamamoto, B Schuller Frontiers in Neuroscience 17, 1120311, 2023 | 1 | 2023 |
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGBestätigte E-Mail-Adresse bei tum.de
