1. A method for training models in speech recognition systems through the selection of acoustic data comprising the steps of: a. training an acoustic model; b. performing a forced Viterbi alignment; c. calculating a total likelihood score; d. performing a phoneme recognition; e. retaining selected audio files; and f. training a new acoustic model.