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Joint factor analysis (JFA) has been successfully applied to speaker verification tasks to tackle speaker and session variability. In the sense of Bayesian statistics, it is beneficial to take account of the uncertainties in JFA to better characterize its speaker enrollment and verification processes, e.g. representing target speaker model by posteriori distribution of latent speaker factors and evaluating...
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