Error correction in automatic speech recognition (ASR) aims to correct those incorrect words sentences generated by ASR models. Since recent models usually have low word error rate (WER), avoid affecting originally tokens, should only modify words, and therefore detecting is important for correction. Previous works on either implicitly detect through target-source attention or CTC (connectionis...