ESPnet: End-to-End Speech Processing Toolkit
Table 2: Comparisons (CER, WER, and training time) of the WSJ task with other end-to-end ASR systems.
['Method', 'Metric', 'dev93', 'eval92']
The use of a deeper encoder network, integration of character-based LSTMLM, and joint CTC/attention decoding steadily improved the performance. But we can state that ESPnet provides reasonable performance by comparing with these prior studies.