9 citations · 17 across the 4 of their papers we have counts for
4 papers
Cloning one's voice using very limited data in the wild
Dongyang Dai, Yuanzhe Chen, Li Chen +6
With the increasing popularity of speech synthesis products, the industry has put forward more requirements for personalized speech synthesis: (1) How to use low-resource, easily a…
Joint Echo Cancellation and Noise Suppression based on Cascaded Magnitude and Complex Mask Estimation
Xiaofeng Shu, Yehang Zhu, Yanjie Chen +4
Acoustic echo and background noise can seriously degrade the intelligibility of speech. In practice, echo and noise suppression are usually treated as two separated tasks and can b…
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
Chun-Mei Feng, Yunlu Yan, Huazhu Fu +2
The core problem of Magnetic Resonance Imaging (MRI) is the trade off between acceleration and image quality. Image reconstruction and super-resolution are two crucial techniques i…
Speech enhancement with weakly labelled data from AudioSet
Qiuqiang Kong, Haohe Liu, Xingjian Du +3
Speech enhancement is a task to improve the intelligibility and perceptual quality of degraded speech signal. Recently, neural networks based methods have been applied to speech en…