Early Stage LM Integration Using Local and Global Log-Linear Combination
Table 6: Comparing performance of different training criteria. All hyperparameters were optimized individually on the respective dev sets. Numbers are WER[%]
['init. model', 'train. crit.', 'testing LM', 'dev WER[%] clean', 'dev WER[%] other', 'test WER[%] clean', 'test WER[%] other']
In this case we also give the word error rate on the test sets. The MMI criterion clearly outperforms the local fusion criterion, which in turn improves over the CE baseline.