1. A method comprising: identifying an acoustic model, wherein the acoustic model is trained on native speech in a target dialect; and replacing, via a processor, a phoneme in the acoustic model with a modified phoneme, wherein the modified phoneme is a weighted sum of plausible phonemes in a lattice of plausible phonemes associated with a class of a speaker.
1. A method comprising: identifying an acoustic model, wherein the acoustic model is trained on native speech in a target dialect; and replacing, via a processor, a phoneme in the acoustic model with a modified phoneme, wherein the modified phoneme is a weighted sum of plausible phonemes in a lattice of plausible phonemes associated with a class of a speaker. 2. The method of claim 1 , wherein upon replacing the phoneme in the acoustic model, the acoustic model becomes a Gaussian mixture model.