Changsong Liu

LLMs can transform ambiguous spoken signals into seamless user interactions by diagnosing the *cause* of ASR errors (perception, comprehension, deletion) and proactively requesting targeted clarification.

Ditch the training data: this intelligibility-guided approach fuses noisy and enhanced speech for robust ASR without needing a separate neural predictor.