29. The method of claim 28 , wherein the training in step (b) is performed using a Hidden Markov Model-Gaussian Mixture Model.
28. The method of claim 15 , wherein step (f) is further comprises the steps of: a) estimating parameters with new features obtained through the one or more transformed matrix; and b) using a maximum likelihood formula with new features to perform training.