ISSN 0021-3454 (print version)
ISSN 2500-0381 (online version)
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9
Issue
vol 60 / SEPTEMBER, 2017
Article
UDC 681.3

COMPARISON OF VARIOUS MIXTURES OF GAUSSIAN PLDA-MODELS IN THE PROBLEM OF TEXT-INDEPENDENT SPEAKER VERIFICATION

T. . Pekhovsky
«Speech Technology Center-Innovation», Ltd.; leading scientific researcher


A. Y. Sizov
ITMO University, Department of Speech Information Systems; Student


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Abstract.   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.
Keywords: i-vector, joint factor analysis, PLDA mixture, speaker verification