COMPARISON OF VARIOUS MIXTURES OF GAUSSIAN PLDA-MODELS IN THE PROBLEM OF TEXT-INDEPENDENT SPEAKER VERIFICATION
Annotation
Applicability of unsupervised mixtures of PLDA models with Gaussian priors in a i-vector space for speaker verification is studied. Conditions under which the application is advantageous are analyzed for existing training databases. A mixture of two PLDA models is shown to be more effective than a single PLDA model for a cross-channel task.
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