FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement X Hao, X Su, R Horaud, X Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 170 | 2021 |
Masking and inpainting: A two-stage speech enhancement approach for low SNR and non-stationary noise X Hao, X Su, S Wen, Z Wang, Y Pan, F Bao, W Chen ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 46 | 2020 |
UNetGAN: A robust speech enhancement approach in time domain for extremely low signal-to-noise ratio condition X Hao, X Su, Z Wang, H Zhang Proc. Interspeech 2019, 1786-1790, 2019 | 37 | 2019 |
Sub-band Knowledge Distillation Framework for Speech Enhancement X Hao, S Wen, X Su, Y Liu, G Gao, X Li Proc. Interspeech 2020, 2687-2691, 2020 | 22 | 2020 |
SNR-Based Teachers-Student Technique for Speech Enhancement X Hao, X Su, Z Wang, Q Zhang, H Xu, G Gao 2020 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2020 | 12 | 2020 |
Fast fullsubnet: Accelerate full-band and sub-band fusion model for single-channel speech enhancement X Hao, X Li arXiv preprint arXiv:2212.09019, 2022 | 5 | 2022 |
Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction X Hao, J Wu, J Yu, C Xu, KC Tan arXiv preprint arXiv:2310.07284, 2023 | 2 | 2023 |
Learning an adversarial network for speech enhancement under extremely low signal-to-noise ratio condition X Su, X Hao, Z Wang, Y Liu, H Xu, T Liu, G Gao, Feilong Neural Information Processing: 26th International Conference, ICONIP 2019 …, 2019 | 2 | 2019 |
Pink-Eggs Dataset V1: A Step Toward Invasive Species Management Using Deep Learning Embedded Solutions D Xu, Y Zhao, X Hao, X Meng arXiv preprint arXiv:2305.09302, 2023 | | 2023 |