2026
Confidence-Guided Error Correction for Disordered Speech Recognition
ICASSP 2026poster
We investigate the use of large language models (LLMs) as post-processing modules for automatic speech recognition (ASR), focusing on their ability to perform error correction for disordered speech. In particular, we propose confidence-informed prompting, where word-level uncertainty estimates are e…