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Beyond WER: Entity and Disfluency Recall in Accented Conversational ASR

Husain, Fiza et al.
arXiv (All) · Papers
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computation-and-languagemachine-learning
ASR systems optimised for Word Error Rate (WER) often miss named entities and filled pauses in accented conversational English, both critical for language-learning feedback. We present a three-stage pipeline for speakers from India, Indonesia, and Latin America: (1) heuristic SQL filters curating en
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