Speaker and Session Variability in GMM-Based Speaker Verification

Abstract

We present a corpus-based approach to speaker verification in which maximum-likelihood II criteria are used to train a large-scale generative model of speaker and session variability which we call joint factor analysis. Enrolling a target speaker consists in calculating the posterior distribution of the hidden variables in the factor analysis model and… (More)
DOI: 10.1109/TASL.2007.894527

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