| 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, ... Proceedings in INTERSPEECH 2020, 4946-4950, 2020 | 130 | 2020 |
| An overview of affective speech synthesis and conversion in the deep learning era A Triantafyllopoulos, BW Schuller, G İymen, M Sezgin, X He, Z Yang, ... Proceedings of the IEEE 111 (10), 1355-1381, 2023 | 55 | 2023 |
| Deep sequential image features on acoustic scene classification Z Ren, V Pandit, K Qian, Z Yang, Z Zhang, B Schuller DCASE, 113-117, 2017 | 53 | 2017 |
| 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 |
| Adventitious Respiratory Classification using Attentive Residual Neural Networks Z Yang, S Liu, M Song, E Parada-Cabaleiro, B Schuller Proceedings in INTERSPEECH 2020, 2912-2916, 2020 | 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 Proceedings in INTERSPEECH 2022, 4915-4919, 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 Proceedings in ICML: ExVo Workshop, 2022 | 8 | 2022 |
| Exploring speaker enrolment for few-shot personalisation in emotional vocalisation prediction A Triantafyllopoulos, M Song, Z Yang, X Jing, BW Schuller Proceedings in ICML: ExVo Workshop, 2022 | 8 | 2022 |
| U-DiT TTS: U-Diffusion Vision Transformer for Text-to-Speech X Jing, Y Chang, Z Yang, J Xie, A Triantafyllopoulos, BW Schuller Speech Communication; 15th ITG Conference, 56-60, 2023 | 7 | 2023 |
| Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression M Song, Z Yang, A Triantafyllopoulos, X Jing, V Karas, X Jiangjian, ... Proceedings in ICML: ExVo Workshop, 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 |
| Learning multi-resolution representations for acoustic scene classification via neural networks Z Yang, K Qian, Z Ren, A Baird, Z Zhang, B Schuller Proceedings of the 7th Conference on Sound and Music Technology (CSMT …, 2019 | 5 | 2019 |
| 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 |
| 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 |
| HEAR4Health: a blueprint for making computer audition a staple of modern healthcare A Triantafyllopoulos, A Kathan, A Baird, L Christ, A Gebhard, M Gerczuk, ... Frontiers in Digital Health 5, 1196079, 2023 | 3 | 2023 |
| 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 |
