END-TO-END SPEECH RECOGNITION WITH WORD-BASED RNN LANGUAGE MODELS
Table 3: Comparison with other end-to-end ASR systems reported on WSJ.
['End-to-end ASR systems', 'dev93', 'eval92']
Finally, we compare our result with other end-to-end systems reported on the WSJ task. Since the systems in the table have different network architectures from each other, it is difficult to compare these numbers directly. However, we confirmed that our system has achieved the best WER in the state-of-the-art systems on the WSJ benchmark.