Author

Fiza Husain

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#machine learning Preprint Jul 2026

Beyond WER: Entity and Disfluency Recall in Accented Conversational ASR

A three-stage pipeline for speakers from India, Indonesia, and Latin America achieves 80-85% entity recall, 76-86% filler recall, and 6-10% WER across 6k test utterances, outperforming Whisper and a commercial ASR on entity recall while matching a zero-shot 30B model with 10x fewer parameters.

Fiza Husain, Ankit Pandey, Y. Singh · 0 citations