4. The method according to claim 2 , said computing of said first log-likelihood score and said computing of said second log-likelihood score comprising one of continuous training and semi-continuous training.
4. The method according to claim 2 , said computing of said first log-likelihood score and said computing of said second log-likelihood score comprising one of continuous training and semi-continuous training. 5. The method according to claim 4 , said continuous training using different sets of Gaussian functions for said word model and said background model, and said semi-continuous training using the same set of Gaussian functions for said word model and said background model.