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The News of Altai State University
Print ISSN 1561-9443
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Content of 1-1(65) 2010
Management, Computer Facilities and Computer Science
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1-1(65)2010
Physics

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P.V. Malinin, V.V. Polyakov

The Application of Multivariate Data Analysis Methods for Voice Person Identification Task

In this article suggested classification method of voice signals what based on representation cepstr combination these signals and projection methods of multivariate data analysis. A show of possibility division speakers voices with help projection latent structure method based on compute speech processing of speakers for preliminary analysis of voice data. Suggested approach is perspective for voice person identification influence get results.

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