2 papers
eess.AS2026
Cached LLM Probability Retrieval for Speech Recognition
Sheng Li, Takahiro Shinozaki, Tatsuya Kawahara
Large language models (LLMs) enhance automatic speech recognition (ASR) by providing linguistic priors; however, their direct rescoring is costly because it requires evaluating eve…
eess.AS2024
Benchmarking Japanese Speech Recognition on ASR-LLM Setups with Multi-Pass Augmented Generative Error Correction
Yuka Ko, Sheng Li, Chao-Han Huck Yang +1
With the strong representational power of large language models (LLMs), generative error correction (GER) for automatic speech recognition (ASR) aims to provide semantic and phonet…