9 citations · 11 across the 3 of their papers we have counts for
3 papers
eess.AS2021
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…
cs.SD2021★ 9 cited
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…
cs.SD2021★ 2 cited
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…