Technique of voice recognition based on neural networks

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 max...

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Main Authors: P. A. Menshakou, I. A. Murashko
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
Online Access:https://doklady.bsuir.by/jour/article/view/884
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spelling doaj-a90f612d55b94f769d05c1fb77bf364b2021-07-28T16:19:54ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-01041218883Technique of voice recognition based on neural networksP. A. Menshakou0I. A. Murashko1Gomel State Technical University named after P.O. SukhoiGomel State Technical University named after P.O. SukhoiThe 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.https://doklady.bsuir.by/jour/article/view/884voice recognitionbiometricsaccess control systemsneural networkfast fourier transform
collection DOAJ
language Russian
format Article
sources DOAJ
author P. A. Menshakou
I. A. Murashko
spellingShingle P. A. Menshakou
I. A. Murashko
Technique of voice recognition based on neural networks
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
voice recognition
biometrics
access control systems
neural network
fast fourier transform
author_facet P. A. Menshakou
I. A. Murashko
author_sort P. A. Menshakou
title Technique of voice recognition based on neural networks
title_short Technique of voice recognition based on neural networks
title_full Technique of voice recognition based on neural networks
title_fullStr Technique of voice recognition based on neural networks
title_full_unstemmed Technique of voice recognition based on neural networks
title_sort technique of voice recognition based on neural networks
publisher Educational institution «Belarusian State University of Informatics and Radioelectronics»
series Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
issn 1729-7648
publishDate 2019-06-01
description 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.
topic voice recognition
biometrics
access control systems
neural network
fast fourier transform
url https://doklady.bsuir.by/jour/article/view/884
work_keys_str_mv AT pamenshakou techniqueofvoicerecognitionbasedonneuralnetworks
AT iamurashko techniqueofvoicerecognitionbasedonneuralnetworks
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