| Adaptive very deep convolutional residual network for noise robust speech recognition T Tan, Y Qian, H Hu, Y Zhou, W Ding, K Yu IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (8), 1393 …, 2018 | 82 | 2018 |
| Improving noisy student training on non-target domain data for automatic speech recognition Y Chen, W Ding, J Lai ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 11 | 2023 |
| Advancing speaker embedding learning: Wespeaker toolkit for research and production S Wang, Z Chen, B Han, H Wang, C Liang, B Zhang, X Xiang, W Ding, ... Speech Communication 162, 103104, 2024 | 9 | 2024 |
| Semi-supervised learning for code-switching asr with large language model filter Y Xi, W Ding, K Yu, J Lai arXiv preprint arXiv:2407.04219, 2024 | 2 | 2024 |
| Wespeaker baselines for VoxSRC2023 S Wang, C Liang, X Xiang, B Han, Z Chen, H Wang, W Ding arXiv preprint arXiv:2306.15161, 2023 | 1 | 2023 |
| NTC-KWS: Noise-aware CTC for Robust Keyword Spotting Y Xi, H Li, H Li, J Guo, X Li, W Ding, K Yu arXiv preprint arXiv:2412.12614, 2024 | | 2024 |
| Romanization Encoding For Multilingual ASR W Ding, F Jia, H Xu, Y Xi, J Lai, B Ginsburg arXiv preprint arXiv:2407.04368, 2024 | | 2024 |
| Fast Adaptation on Deepmixture Generative Network Based Acoustic Modeling W Ding, T Tan, Y Qian 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | | 2018 |
