Speaker adaptation technique for HMM model

A new speaker adaptation technique for the hidden Markov model (HMM) based on the maximum model distance (Kwong, 1998; He, 1999) approach is presented. Experimental results have shown that this technique provides good performance even with a small amount of adaptation data. When these results are compared with those from the Baum-Welch approach and the stochastic matching approaches (Sank, 1996), it is found that the presented approach provides the best performance