| DCCRN: Deep complex convolution recurrent network for phase-aware speech enhancement Y Hu, Y Liu, S Lv, M Xing, S Zhang, Y Fu, J Wu, B Zhang, L Xie arXiv preprint arXiv:2008.00264, 2020 | 571 | 2020 |
| Uformer: A unet based dilated complex & real dual-path conformer network for simultaneous speech enhancement and dereverberation Y Fu, Y Liu, J Li, D Luo, S Lv, Y Jv, L Xie ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 37 | 2022 |
| Sub-band knowledge distillation framework for speech enhancement X Hao, S Wen, X Su, Y Liu, G Gao, X Li arXiv preprint arXiv:2005.14435, 2020 | 21 | 2020 |
| Supervised speech enhancement with real spectrum approximation Y Liu, H Zhang, X Zhang, L Yang ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 19 | 2019 |
| Densely connected multi-stage model with channel wise subband feature for real-time speech enhancement J Li, D Luo, Y Liu, Y Zhu, Z Li, G Cui, W Tang, W Chen ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 11 | 2021 |
| Using Shifted Real Spectrum Mask as Training Target for Supervised Speech Separation. Y Liu, H Zhang, X Zhang Interspeech, 1151-1155, 2018 | 9 | 2018 |
| Investigation of Cost Function for Supervised Monaural Speech Separation. Y Liu, H Zhang, X Zhang, Y Cao Interspeech, 3178-3182, 2019 | 4 | 2019 |
| 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 |
| Joint Noise Reduction and Listening Enhancement for Full-End Speech Enhancement H Li, Y Liu, J Yamagishi ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
Yihui FuTechnische Universität BraunschweigVerified email at npu-aslp.org
