34 citations · 195 across the 59 of their papers we have counts for
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eess.AS2021★ 11 cited
Cross-speaker Emotion Transfer Based on Speaker Condition Layer Normalization and Semi-Supervised Training in Text-To-Speech
Pengfei Wu, Junjie Pan, Chenchang Xu +4
In expressive speech synthesis, there are high requirements for emotion interpretation. However, it is time-consuming to acquire emotional audio corpus for arbitrary speakers due t…
eess.AS2021★ 3 cited
Improving Pseudo-label Training For End-to-end Speech Recognition Using Gradient Mask
Shaoshi Ling, Chen Shen, Meng Cai +1
In the recent trend of semi-supervised speech recognition, both self-supervised representation learning and pseudo-labeling have shown promising results. In this paper, we propose…
eess.AS2021
HMM-Free Encoder Pre-Training for Streaming RNN Transducer
Lu Huang, Jingyu Sun, Yufeng Tang +4
This work describes an encoder pre-training procedure using frame-wise label to improve the training of streaming recurrent neural network transducer (RNN-T) model. Streaming RNN-T…