Approximations to the MMI criterion and their effect on lattice-based MMI.
Table 1: WER on training data during 100 iterations of extended Baum-Welch using two different recognition methods.
['iteration', 'Method A', 'Method B']
The pattern of the WER of the recognition of the training data using method A is very similar to the pattern that we saw on the independent test data, but these patterns are very different from the pattern of the WER of the recognition of the training data using method B. In particular, the sequence of WERs generated by method B steadily decreases, apparently headed towards 0% WER.