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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "https://jats.nlm.nih.gov/publishing/1.3/JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xml:lang="ru">
  <front xmlns:xlink="http://www.w3.org/1999/xlink">
    <journal-meta>
      <journal-id journal-id-type="elibrary">9004</journal-id>
      <journal-title-group>
        <journal-title>Problems of information security. Computer systems</journal-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Проблемы информационной безопасности. Компьютерные системы</trans-title>
        </trans-title-group>
      </journal-title-group>
      <issn pub-type="epub">2071-8217</issn>
    </journal-meta>
    <article-meta xmlns:xlink="http://www.w3.org/1999/xlink">
      <article-id pub-id-type="publisher-id">12</article-id>
      <article-id pub-id-type="doi">10.48612/jisp/ze3e-rae5-tpr3</article-id>
      <title-group>
        <article-title>VOICE IDENTIFICATION METHOD BASED ON MACHINE LEARNING</article-title>
        <trans-title-group xml:lang="ru">
          <trans-title>Метод идентификации человека по голосу с использованием машинного обучения</trans-title>
        </trans-title-group>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-4231-9805</contrib-id>
          <name>
            <surname>SHNIPEROV</surname>
            <given-names>Alexey</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>ashniperov@sfu-kras.ru</email>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-2475-7820</contrib-id>
          <name>
            <surname>POTYLITSINA</surname>
            <given-names>Yulia</given-names>
          </name>
          <xref ref-type="aff" rid="aff1"/>
          <email>ypotylitsina@sfu-kras.ru</email>
        </contrib>
      </contrib-group>
      <aff id="aff1">Federal State Autonomous Educational Institution of Higher Education «Siberian Federal University»</aff>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2022-09-28">
        <day>28</day>
        <month>09</month>
        <year>2022</year>
      </pub-date>
      <issue>3</issue>
      <fpage>143</fpage>
      <lpage>154</lpage>
      <self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="https://jisp.spbstu.ru/userfiles/files/2022_3_short.pdf"/>
      <abstract xml:lang="en">
        <p>This paper presents a voice identification method based on machine learning. The general
algorithm of voice identification is considered. The results of the analysis of common solutions in
the area of voice identification are presented. The use of cepstral transformations and deep learning
methods for convolutional neural networks is proposed. A software prototype has been developed
and the results of its testing have been presented. The results of evaluating the effectiveness of the
developed method are presented</p>
      </abstract>
      <kwd-group xml:lang="en">
        <kwd>biometric identification</kwd>
        <kwd>classification</kwd>
        <kwd>machine learning</kwd>
        <kwd>neural network</kwd>
        <kwd>algorithm</kwd>
        <kwd>MFCC</kwd>
        <kwd>CNN.</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
