AI RESEARCH
Multimodal In-context Learning for ASR of Low-resource Languages
arXiv CS.CL
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ArXi:2601.05707v2 Announce Type: replace Automatic speech recognition (ASR) still covers only a small fraction of the world's languages, mainly due to supervised data scarcity. In-context learning (ICL) with large language models (LLMs) addresses this problem, but prior work largely focuses on high-resource languages covered during