1. A method of augmenting training data comprising: receiving, by a computer system, a training set of sampled audio data including speech of a plurality of source speakers; for each of the plurality of source speakers; converting, by the computer system, a feature sequence of a source speaker, of the plurality of source speakers, determined from a plurality of utterances of scripted speech within the training set, to a feature sequence of a respective target speaker under the same scripted speech, wherein the feature sequence of the respective target speaker is added to the training set; training, by the computer system, a speaker-dependent acoustic model for the respective target speaker for corresponding speaker-specific acoustic characteristics; and estimating, by the computer system, a mapping function between the feature sequence of the source speaker and the speaker-dependent acoustic model of the respective target speaker; and for each of the plurality of source speakers: mapping, by the computer system, each of the utterances from each of the plurality of source speakers in the training set using the mapping function to a plurality of other source speakers of the plurality of source speakers, wherein the mapping is added to the training set to generate augmented training data configured to train an automatic system recognition computer system.