Papers with variable-length correction

1 papers
Non-Autoregressive Chinese ASR Error Correction with Phonological Training (2022.naacl-main)

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Challenge: Existing methods to correct ASR errors focus on fixed-length corrections, but rarely consider variable-length ones.
Approach: They propose a non-autoregressive method to correct Chinese ASR errors . they use phonological tokens to extend the source sentence for variable-length correction .
Outcome: The proposed method improves word error rate and speeds up inference by 6.2 times compared with the autoregressive model.

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