19. The computing system of claim 17 , wherein each of the plurality of training computing devices applying the weak acoustic model, the language model, and the weight vector to the respective selected partitions of reference utterances produces respective weight vector adjustments.
19. The computing system of claim 17 , wherein each of the plurality of training computing devices applying the weak acoustic model, the language model, and the weight vector to the respective selected partitions of reference utterances produces respective weight vector adjustments. 23. The computing system of claim 19 , wherein applying the weak acoustic model, the language model, and the weight vector to the respective selected partitions of reference utterances comprises determining respective inner products of the weight vector and the respective feature vectors associated with the respective reference utterances.