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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Intellectual Technologies on Transport</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Intellectual Technologies on Transport</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Интеллектуальные технологии на транспорте</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="online">2413-2527</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">93577</article-id>
   <article-id pub-id-type="doi">10.24412/2413-2527-2023-436-19-27</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Статьи</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>Articles</subject>
    </subj-group>
    <subj-group>
     <subject>Статьи</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Application of Natural Language Processing Technologies for Voice Control Based on an Open Dictionary</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Применение технологий обработки естественного языка для голосового управления на основе открытого словаря</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Михайлова</surname>
       <given-names>С А</given-names>
      </name>
      <name xml:lang="en">
       <surname>Mikhaylova</surname>
       <given-names>S A</given-names>
      </name>
     </name-alternatives>
     <email>mikhaylova_sa@mail.ru</email>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Аникеев</surname>
       <given-names>К Г</given-names>
      </name>
      <name xml:lang="en">
       <surname>Anikeev</surname>
       <given-names>K G</given-names>
      </name>
     </name-alternatives>
     <email>mikhaylova_sa@mail.ru</email>
     <xref ref-type="aff" rid="aff-2"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Военно-космическая академия имени А. Ф. Можайского</institution>
     <country>ru</country>
    </aff>
    <aff>
     <institution xml:lang="en">Military Aerospace Academy</institution>
     <country>ru</country>
    </aff>
   </aff-alternatives>
   <aff-alternatives id="aff-2">
    <aff>
     <institution xml:lang="ru">Военно-космическая академия имени А. Ф. Можайского</institution>
     <country>ru</country>
    </aff>
    <aff>
     <institution xml:lang="en">Military Aerospace Academy</institution>
     <country>ru</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2025-01-11T23:38:26+03:00">
    <day>11</day>
    <month>01</month>
    <year>2025</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-01-11T23:38:26+03:00">
    <day>11</day>
    <month>01</month>
    <year>2025</year>
   </pub-date>
   <issue>4</issue>
   <fpage>19</fpage>
   <lpage>27</lpage>
   <history>
    <date date-type="received" iso-8601-date="2025-01-11T23:15:09+03:00">
     <day>11</day>
     <month>01</month>
     <year>2025</year>
    </date>
   </history>
   <self-uri xlink:href="https://atjournal.ru/en/nauka/article/93577/view">https://atjournal.ru/en/nauka/article/93577/view</self-uri>
   <abstract xml:lang="ru">
    <p>Рассмотрена возможность применения технологий обработки естественного языка для решения задачи голосового управления путем выделения в естественной речи фраз, имеющих сходный смысл с командами управления. Рассмотрены возможности библиотек и сервисов распознавания речи. Предлагается структура системы голосового управления на базе библиотеки распознавания речи Vosk. Данная структура позволяет пополнять словарь фраз, соответствующих командам управления, на основе оценки семантической близости.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>The possibility of using natural language processing technologies to solve the problem of voice control by identifying phrases in natural speech that have a similar meaning to control commands is considered. The capabilities of speech recognition libraries and services are considered. The structure of a voice control system based on the Vosk speech recognition library is proposed. This structure allows you to replenish the dictionary of phrases corresponding to control commands based on an assessment of semantic proximity.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>распознавание речи</kwd>
    <kwd>голосовое управление</kwd>
    <kwd>обработка естественного языка</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>speech recognition</kwd>
    <kwd>voice control</kwd>
    <kwd>natural language processing</kwd>
   </kwd-group>
  </article-meta>
 </front>
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