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Lucas Kabela

2 accepted papers

2024

Contextual Biasing of Named-Entities with Large Language Models

ICASSP 2024accepted

We explore contextual biasing with Large Language Models (LLMs) to enhance Automatic Speech Recognition (ASR) in second-pass rescoring. Our approach introduces the utilization of prompts for LLMs during rescoring without the need for fine-tuning. These prompts incorporate a biasing list and a set of…

Cited by 0SourceScholar
2022

Joint Audio/Text Training for Transformer Rescorer of Streaming Speech Recognition

EMNLP 2022finding

Recently, there has been an increasing interest in two-pass streaming end-to-end speech recognition (ASR) that incorporates a 2nd-pass rescoring model on top of the conventional 1st-pass streaming ASR model to improve recognition accuracy while keeping latency low. One of the latest 2nd-pass rescori…

Cited by 8SourcePDFScholar