Combining larger LLM decoders, preceding-text context, and iterative self-correction reduces character error rate on CNVSRC.Single Chinese visual speech recognition from 49.32% to 38.18%.
Results on Scaling Test We first conduct a Scaling Test to investigate how the LLM scale affects VSR performance
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Leveraging Large Language Models in Visual Speech Recognition: Model Scaling, Context-Aware Decoding, and Iterative Polishing
Combining larger LLM decoders, preceding-text context, and iterative self-correction reduces character error rate on CNVSRC.Single Chinese visual speech recognition from 49.32% to 38.18%.