Patent Document ID: 8892438
Application ID: 12881665

Base Claim:
1. A method comprising: selecting a plurality of language models; for each period of a plurality of time periods: identifying a first utterance and a second utterance received during each time period, wherein the first utterance was recognized using a first language model of the plurality of language models and the second utterance was recognized using a second language model of the plurality of language models; identifying distinctions between the first utterance and the second utterance for each of the plurality of time periods; determining when a significant word usage change has occurred within the first language model and the second language model by comparing the distinctions to previously recorded distinctions; and when the significant word usage change is detected: identifying a word corresponding to the significant word usage change; generating, from the utterances, a first cluster of utterances comprising the word; generating, from the utterances, a second cluster of utterances not comprising the word; and updating the plurality of language models using the first cluster of utterances and the second cluster of utterances.

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Claim 9:
9. The method of claim 1 , further comprising: pooling the plurality of utterances from the plurality of time periods, to yield pooled utterances; assigning each utterance of the pooled utterances to one of a plurality of subpopulations; generating a language model for each of the plurality of subpopulations; reassigning each utterance to one of the plurality of subpopulations according to a reassignment criterion; determining whether any of the plurality of subpopulations fulfill a splitting criterion; and splitting ones of the plurality of subpopulations that fulfill the splitting criterion, wherein: examining a subset of the plurality of utterances from each of the time periods, determining one of a significant word change within the plurality of spoken utterances, generating, from the subset of the plurality of utterances, a first cluster of utterances including a word corresponding to the significant word change, and generating, from the subset of the plurality of utterances, a second cluster of utterances not including the word corresponding to the significant word change are performed after pooling, assigning, generating a language model, reassigning, determining whether any of the subpopulations fulfill the splitting criterion, and splitting.