bsuirДоклады БГУИРDoklady BGUIR1729-76482708-0382БГУИРbsuir-884Research ArticleСтатьиМЕТОДИКА ГОЛОСОВОЙ ИДЕНТИФИКАЦИИ НА ОСНОВЕ НЕЙРОННЫХ СЕТЕЙTechnique of voice recognition based on neural networksМеньшаковП. А.MenshakouP. A.pmenshakov@gmail.comМурашкоИ. А.MurashkoI. A.noemail@neicon.ruГомельский государственный технический университет имени П.О. СухогоGomel State Technical University named after P.O. Sukhoi201703062019041218Copyright © Меньшаков П.А., Мурашко И.А., 20192019Меньшаков П.А., Мурашко И.А.Menshakou P.A., Murashko I.A.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://doklady.bsuir.by/jour/article/view/884

Рассмотрена проблема голосовой идентификации для применения в системах контроля доступа. Предложена методика быстрого получения отпечатка голоса диктора без потери данных, характеризующих голос. Предложено использовать самоорганизующиеся карты Кохонена для идентификации диктора, отличающиеся выделением нейронов с максимальной активностью, что позволило уменьшить время распознавания на 30-80 % по сравнению с существующими решениями.

The problem of voice recognition for use in access control systems was considered. The technique of quick print announcer voice without loss of data characterizing the vote was offered. It proposed to use a Kohonen self-organizing map to identify the speaker, characterized by neuronal release of maximum activity, which reduced the recognition time by 30-80 % compared with existing solutions.

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The authors declare that there are no conflicts of interest present.