6 citations · 14 across the 30 of their papers we have counts for
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eess.AS2022
Speech-text based multi-modal training with bidirectional attention for improved speech recognition
Yuhang Yang, Haihua Xu, Hao Huang +2
To let the state-of-the-art end-to-end ASR model enjoy data efficiency, as well as much more unpaired text data by multi-modal training, one needs to address two problems: 1) the s…
cs.SD2022
Fusion of Self-supervised Learned Models for MOS Prediction
Zhengdong Yang, Wangjin Zhou, Chenhui Chu +4
We participated in the mean opinion score (MOS) prediction challenge, 2022. This challenge aims to predict MOS scores of synthetic speech on two tracks, the main track and a more c…
eess.AS2022
Hierarchical Softmax for End-to-End Low-resource Multilingual Speech Recognition
Qianying Liu, Zhuo Gong, Zhengdong Yang +8
Low-resource speech recognition has been long-suffering from insufficient training data. In this paper, we propose an approach that leverages neighboring languages to improve low-r…