2. The method of claim 1 , further comprising: using the model, performing automatic speech recognition of the utterance data not having a corresponding manual transcription to produce a new set of automatically transcribed utterances; training a second model using the first manually transcribed data and the second manually transcribed data and the new set of automatically transcribed utterances; selecting another predetermined number of utterances not having a corresponding manual transcription; and manually transcribing the selected another predetermined number of utterances not having a corresponding manual transcription.
5. The method of claim 2 , further comprising: determining whether word accuracy of the new set of automatically transcribed utterances has converged, and repeating all of the acts of claim 2 using the second model as the model when the determining has determined that the word accuracy has not converged.