Exploring End-to-End Techniques for Low-Resource Speech Recognition
Table 2: Models trained with CTC and proposed CTC modification
['[BOLD] Model', '[BOLD] Segmentation', '[BOLD] Argmax', '[BOLD] LM decoding  [BOLD] beam 100', '[BOLD] LM decoding  [BOLD] beam 2000', '[BOLD] Sclite']
The proposed criterion doesn’t lead to consistent improvement while decoding with large beam width (2000), but shows significant improvement when decoding with smaller beam (100). We plan to further explore utilizing alignment information during training.