Chunxi Liu

Faster, Simpler and More Accurate Hybrid ASR Systems Using Wordpieces

2020 · arXiv (Cornell University)

In this work, we first show that on the widely used LibriSpeech benchmark, our transformer-based context-dependent connectionist temporal classification (CTC) system produces state-of-the-art results. We then show that using wordpieces as modeling units combined with …

Improving RNN Transducer Based ASR with Auxiliary Tasks

2021

End-to-end automatic speech recognition (ASR) models with a single neural network have recently demonstrated state-of-the-art results compared to conventional hybrid speech recognizers. Specifically, recurrent neural network transducer (RNN-T) has shown competitive ASR performance on various …