9 citations · 10 across the 3 of their papers we have counts for
3 papers
cs.CL2021★ 9 cited
Exploiting Adapters for Cross-lingual Low-resource Speech Recognition
Wenxin Hou, Han Zhu, Yidong Wang +4
Cross-lingual speech adaptation aims to solve the problem of leveraging multiple rich-resource languages to build models for a low-resource target language. Since the low-resource…
eess.AS2020
Domain Adaptation Using Class Similarity for Robust Speech Recognition
Han Zhu, Jiangjiang Zhao, Yuling Ren +2
When only limited target domain data is available, domain adaptation could be used to promote performance of deep neural network (DNN) acoustic model by leveraging well-trained sou…
eess.AS2020★ 1 cited
Multi-Accent Adaptation based on Gate Mechanism
Han Zhu, Li Wang, Pengyuan Zhang +1
When only a limited amount of accented speech data is available, to promote multi-accent speech recognition performance, the conventional approach is accent-specific adaptation, wh…