1 code implementation • 19 Apr 2023 • Yaoxun Xu, Baiji Liu, Qiaochu Huang and, Xingchen Song, Zhiyong Wu, Shiyin Kang, Helen Meng
In this work, we propose CB-Conformer to improve biased word recognition by introducing the Contextual Biasing Module and the Self-Adaptive Language Model to vanilla Conformer.
no code implementations • 1 May 2020 • Baiji Liu, Songjun Cao, Sining Sun, Weibin Zhang, Long Ma
Experiments on AISHELL-1 data show that the proposed model, along with the training strategies, improve the character error rate (CER) of MoChA from 8. 96% to 7. 68% on test set.