Patent ID: 9378732
Filing Date: 2016-06-28
CPC Classification: G10L

Claim Text:
1. A computer-implemented method performed by a processor, the method comprising: identifying a plurality of un-transcribed utterances and acoustic and language models trained to recognize speech; for each un-transcribed utterance of the plurality of the un-transcribed utterances, computing a corresponding confidence score that indicates a likelihood of the un-transcribed utterance being correctly recognized by the acoustic and language models; identifying a first set of utterances selected from the un-transcribed utterances, each utterance in the first set of utterances having a corresponding confidence score indicating at least a first likelihood of the un-transcribed utterance being correctly recognized; transcribing, via the processor and the acoustic and language models, the first set of utterances to generate machine-transcribed utterances identifying a second set of utterances selected from the un-transcribed utterances, each utterance in the second set of utterances having a corresponding confidence score indicating a likelihood of the un-transcribed utterance being correctly recognized that is lower than the first likelihood; receiving human-transcribed utterances for the second set of utterances; and re-training the acoustic and language models using the machine-transcribed utterances and the human-transcribed utterances.