AI RESEARCH
Can LLM Agents Identify Spoken Dialects like a Linguist?
arXiv CS.CL
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ArXi:2603.29541v1 Announce Type: new Due to the scarcity of labeled dialectal speech, audio dialect classification is a challenging task for most languages, including Swiss German. In this work, we explore the ability of large language models (LLMs) as agents in understanding the dialects and whether they can show comparable performance to models such as HuBERT in dialect classification. In addition, we provide an LLM baseline and a human linguist one.