- Article
An Improved Chinese Pause Fillers Prediction Module Based on RoBERTa
- Ling Yu,
- Xiaoqun Zhou and
- Fanglin Niu
The prediction of pause fillers plays a crucial role in enhancing the naturalness of synthesized speech. In recent years, neural networks, including LSTM, BERT, and XLNet, have been employed for pause fillers prediction modules. However, these method...