AI RESEARCH
PAREDA: A Multi-Accent Speech Dataset of Natural Language Processing Research Discussions
arXiv CS.CL
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ArXi:2605.17860v1 Announce Type: new While modern Automatic Speech Recognition (ASR) systems achieve high accuracy on benchmark corpora, their performance often degrades when there is real-world variability. This work focuses on variability arising due to accented, spontaneous, and domain-specific speech. In particular, we