| Robust federated learning against adversarial attacks for speech emotion recognition Y Chang, S Laridi, Z Ren, G Palmer, BW Schuller, M Fisichella arXiv preprint arXiv:2203.04696, 2022 | 20 | 2022 |
| CovNet: A Transfer Learning Framework for Automatic COVID-19 Detection From Crowd-Sourced Cough Sounds Y Chang, X Jing, Z Ren, BW Schuller Frontiers in Digital Health 3, 195, 2022 | 18 | 2022 |
| Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis Y Chang, Z Ren, TT Nguyen, W Nejdl, BW Schuller Interspeech 2022, 4003--4007, 2022 | 12 | 2022 |
| The acoustic dissection of cough: diving into machine listening-based COVID-19 analysis and detection Z Ren, Y Chang, KD Bartl-Pokorny, FB Pokorny, BW Schuller Journal of Voice, 1--14, 2022 | 10 | 2022 |
| Fast yet effective speech emotion recognition with self-distillation Z Ren, TT Nguyen, Y Chang, BW Schuller ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 7 | 2023 |
| A federated learning paradigm for heart sound classification W Qiu, K Qian, Z Wang, Y Chang, Z Bao, B Hu, BW Schuller, Y Yamamoto 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 7 | 2022 |
| Transformer-based CNNs: Mining Temporal Context Information for Multi-sound COVID-19 Diagnosis Y Chang, Z Ren, BW Schuller 2021 43rd Annual International Conference of the IEEE Engineering in …, 2021 | 6 | 2021 |
| A comprehensive survey on heart sound analysis in the deep learning era Z Ren, Y Chang, TT Nguyen, Y Tan, K Qian, BW Schuller arXiv preprint arXiv:2301.09362, 2023 | 5 | 2023 |
| Cnn-based heart sound classification with an imbalance-compensating weighted loss function Z Li, Y Chang, BW Schuller 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 3 | 2022 |
| Climate change & computer audition: A call to action and overview on audio intelligence to help save the planet BW Schuller, A Akman, Y Chang, H Coppock, A Gebhard, A Kathan, ... arXiv preprint arXiv:2203.06064, 2022 | 3 | 2022 |
| Knowledge transfer for on-device speech emotion recognition with neural structured learning Y Chang, Z Ren, TT Nguyen, K Qian, BW Schuller ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| Learning complementary representations via attention-based ensemble learning for cough-based COVID-19 recognition Z Ren, Y Chang, W Nejdl, BW Schuller Acta Acustica 6, 29, 2022 | 2 | 2022 |
| Ecology & computer audition: Applications of audio technology to monitor organisms and environment BW Schuller, A Akman, Y Chang, H Coppock, A Gebhard, A Kathan, ... Heliyon, 2023 | 1 | 2023 |
| 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 | 1 | 2023 |
| STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition Y Chang, Z Ren, Z Zhang, X Jing, K Qian, X Shao, B Hu, T Schultz, ... arXiv preprint arXiv:2402.01227, 2024 | | 2024 |
| A Multi-feature Sets Fusion Strategy with Similar Samples Removal for Snore Sound Classification Z Zhao, Y Tan, M Sun, Y Chang, K Qian, B Hu, BW Schuller, Y Yamamoto National Conference on Man-Machine Speech Communication, 30-43, 2022 | | 2022 |
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGGeverifieerd e-mailadres voor tum.de
