Integrating whole context to sequence-to-sequence speech recognition
Table 2: Character error rates on AISHELL-1 test set.
['Model', 'CER%']
For the baseline, we use the standard cross-entropy loss to optimize the Seq2Seq model. It achieves a 10.6% of CER. And with COR, the Seq2Seq can achieves 8.2% of CER, which shows the best performance.