Exploring End-to-End Techniques for Low-Resource Speech Recognition
Table 4: Comparison of bLSTM models with different number of hidden units.
['[BOLD] Units', '[BOLD] Layers', '[BOLD] Argmax', '[BOLD] LM decoding  [BOLD] beam 100', '[BOLD] LM decoding  [BOLD] beam 2000', '[BOLD] Sclite']
Models with 512 and 768 hidden units are worse than with 320, but model with 1024 hidden units is significantly better than others. We also observed that model with 6 layers performs better than others.