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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