9 citations · 13 across the 5 of their papers we have counts for
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cs.CL2024
Efficient Adapter Finetuning for Tail Languages in Streaming Multilingual ASR
Junwen Bai, Bo Li, Qiujia Li +2
The end-to-end ASR model is often desired in the streaming multilingual scenario since it is easier to deploy and can benefit from pre-trained speech models such as powerful founda…
cs.CL2023★ 2 cited
Efficient Domain Adaptation for Speech Foundation Models
Bo Li, Dongseong Hwang, Zhouyuan Huo +8
Foundation models (FMs), that are trained on broad data at scale and are adaptable to a wide range of downstream tasks, have brought large interest in the research community. Benef…