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Department Electrical Engineering, KU Leuven, ESAT-PSI
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Contextual reasoning in speech recognition can be dramatically improved by grounding models in rich video metadata, leading to significant error reductions in rare terms and named entities.
Fusing multiple speech encoders can dramatically elevate ASR performance without incurring significant computational costs.
Phoneme-first prediction boosts LLM-based speech recognition accuracy by reducing acoustic confusion and enhancing pronunciation understanding.