no code implementations • 15 Mar 2022 • Zehua Zhang, Lu Zhang, Xuyi Zhuang, Yukun Qian, Heng Li, Mingjiang Wang
In recent years, deep learning-based approaches have significantly improved the performance of single-channel speech enhancement.
no code implementations • 9 Jul 2021 • Lu Zhang, Mingjiang Wang, Andong Li, Zehua Zhang, Xuyi Zhuang
In this study, we make full use of the contribution of multi-target joint learning to the model generalization capability, and propose a lightweight and low-computing dilated convolutional network (DCN) model for a more robust speech denoising task.
no code implementations • 9 Jun 2021 • Lu Zhang, Mingjiang Wang, Zehua Zhang, Xuyi Zhuang
In this paper, we propose a multi-branch dilated convolutional network (DCN) to simultaneously enhance the magnitude and phase of noisy speech.
no code implementations • 27 Dec 2019 • Qiquan Zhang, Aaron Nicolson, Mingjiang Wang, Kuldip K. Paliwal, Chenxu Wang
Deep learning has achieved substantial improvement on single-channel speech enhancement tasks.