Contextual Biasing of Named-Entities with Large Language Models

This paper studies contextual biasing with Large Language Models (LLMs), where during second-pass rescoring additional contextual information is provided to a LLM to boost Automatic Speech Recognition (ASR) performance. We propose to leverage prompts for a LLM without fine tuning during rescoring wh...

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Bibliographische Detailangaben

Hauptverfasser:	Sun, Chuanneng, Ahmed, Zeeshan, Ma, Yingyi, Liu, Zhe, Kabela, Lucas, Pang, Yutong, Kalinli, Ozlem
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Artificial Intelligence Computer Science - Computation and Language Computer Science - Learning Computer Science - Sound
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