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Chengdong Liang

2 accepted papers

2023

Fast-U2++: Fast and Accurate End-to-End Speech Recognition in Joint CTC/Attention Frames

ICASSP 2023accepted

Recently, the unified streaming and non-streaming two-pass (U2/U2++) end-to-end model for speech recognition has shown great performance in terms of streaming capability, accuracy and latency. In this paper, we present fast-U2++, an enhanced version of U2++ to further reduce partial latency. The cor…

Cited by 0SourceScholar
2023

Wespeaker: A Research and Production Oriented Speaker Embedding Learning Toolkit

ICASSP 2023accepted

Speaker modeling is essential for many related tasks, such as speaker recognition and speaker diarization. The dominant modeling approach is fixed-dimensional vector representation, i.e., speaker embedding. This paper introduces a research and production oriented speaker embedding learning toolkit,…

Cited by 0SourceScholar