papers
Publications (2)
eess.AS2020
Research on Modeling Units of Transformer Transducer for Mandarin Speech Recognition
Li Fu, Xiaoxiao Li, Libo Zi
Modeling unit and model architecture are two key factors of Recurrent Neural Network Transducer (RNN-T) in end-to-end speech recognition. To improve the performance of RNN-T for Ma…
eess.AS2021
Incremental Learning for End-to-End Automatic Speech Recognition
Li Fu, Xiaoxiao Li, Libo Zi +4
In this paper, we propose an incremental learning method for end-to-end Automatic Speech Recognition (ASR) which enables an ASR system to perform well on new tasks while maintainin…