Integration of hidden markov models in the automated speaker recognition system for critical use

被引：1

作者：

Kovtun, Vjatcheslav V. ^{[1
]}

Yukhimchuk, Maria S. ^{[2
]}

Kisala, Piotr ^{[3
]}

Abisheva, Akmaral ^{[4
]}

Rakhmetullina, Saule ^{[5
]}

机构：

[1] Vinnytsia Natl Tech Univ, Comp Control Syst Dept Vjatcheslav V Kovtun, Khmelnytsky Hwy 95, UA-21021 Vinnytsia, Ukraine

[2] Vinnytsia Natl Tech Univ, Comp Control Syst Dept Maria S Yukhimchuk, Khmelnytsky Hwy 95, UA-21021 Vinnytsia, Ukraine

[3] Lublin Univ Technol, Inst Elect & Informat Technol, Nadbystrzycka 38A, PL-20618 Lublin, Poland

[4] Al Farabi Kazakh Natl Univ, Alma Ata, Kazakhstan

[5] East Kazakhstan State Tech Univ, Alma Ata, Kazakhstan

来源：

PRZEGLAD ELEKTROTECHNICZNY | 2019年 / 95卷 / 04期

关键词：

microphone set; Gaussian mixures models; hidden Markov models;

D O I：

10.15199/48.2019.04.32

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this article, the author theoretically substantiated the possibility of integration of hidden Markov models (IHMM) in the structure of the automated speaker recognition system for critical use (ASRSCU) for analysis of speech information from a plurality of independent input channels, which allowed within the statistical conception of pattern recognition to combine the accuracy of the approximation of input signals inherent the apparatus of GMM models. The authors proposed a mathematical apparatus for the integration of hidden Markov models, which allows us to adequately describe the set of interacting processes in the Markov paradigm with the preservation of temporal, asymmetric conditional probabilities between the chains

引用

页码：176 / 180

页数：5

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