13. The system according to claim 12 , said word model comprising a Hidden Markov Model (HMM) and said background model comprising a Gaussian Mixture Model (GMM).
13. The system according to claim 12 , said word model comprising a Hidden Markov Model (HMM) and said background model comprising a Gaussian Mixture Model (GMM). 15. The system according to claim 13 , said processor further performing, during said computing of said first log-likelihood score and said computing of said second log-likelihood score, one of continuous training and semi-continuous training.