This finding is an important one because it suggests that systems that have access to restricted kinds of information can still hope to identify user corrections with some confidence.
simply using information available to current ASR systems, such as acoustic confidence score, recognized string, grammar, and features derived from these, produces classification results equivalent to our best-performing classifier.