Effect of training set size We have measured NE performance in the context of speech as a function of training set size and found that the performance increases logarithmically with the amount of training data for 15% WER test data as well as for 0% WER input.
within each of the regions, we use a statistical bigram language model, and emit exactly one word upon entering each state.