Context-dependent modeling is a widely used technique for better phone modeling in continuous speech recognition. While different types of context-dependent models have been used, triphones have been known as the most effective ones. In this paper, a Maximum a Posteriori (MAP) estimation approach has been used to estimate the parameters of the untied triphone model set used in data-driven clust...

In this paper, we propose an approach to address the problem of text-independent open-set speaker identification. The in-set speakers are clustered into smaller subsets without merging speaker models. The Anti-Speaker or Background Model is then adapted for each subset which minimizes the identification errors of the pseudo impostors during the training stage. Score normalization is applied to ...