Cached LLM Probability Retrieval for Speech Recognition
Large language models (LLMs) enhance automatic speech recognition (ASR) by providing linguistic priors; however, their direct rescoring is costly because it requires evaluating every N-best hypothesis. This paper introduces"cached LLM probability retrieval,"which involves querying a local teacher LLM offline to obtain...