1. A method comprising: performing automatic speech recognition using a bootstrap model, the bootstrapped model being based on text data mined from a website relevant to a specific domain, on utterance data not having a corresponding manual transcription to produce automatically transcribed utterances, wherein the utterance data comprises first manually transcribed data; training a model using the first manually transcribed data and the automatically transcribed utterances; selecting a predetermined number of utterances not having a corresponding manual transcription based on a geometrically computed n-tuple confidence score, to yield a selected number of utterances; manually transcribing the selected number of utterances not having a corresponding manual transcription, to yield second manually transcribed data; and labeling one of the automatically transcribed utterances and one of the first manually transcribed data and the second manually transcribed data.