1. A method comprising: receiving speech recognition output associated with speech from a user; receiving an error model characterizing how automatic speech recognition transcription errors are made; generating, via a processor, guesses of a true transcription based on an error model-based algorithm, wherein the error model-based algorithm uses the error model and the speech recognition output; and generating, based on the guesses of the true transcription, a personalized user model associated with a user voiceprint of the user, wherein the generating of the personalized user model comprises iteratively guessing the true transcription until a threshold is met.
4. The method of claim 1 , wherein generating of the guesses is further based on a set of manual transcriptions of speech interactions with the user.