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Two-Layer Perceptron for Voice Recognition of Speaker’s Identity

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成果类型:
期刊论文、会议论文
作者:
Zhengbing Hu;Ihor Tereikovskyi;Oleksandr Korystin;Victor Mihaylenko;Liudmyla Tereikovska
通讯作者:
Tereikovskyi, I.
作者机构:
[Hu Z.] School of Educational Information Technology, Central China Normal University, Wuhan, China
[Tereikovskyi I.] National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kiev, Ukraine
[Korystin O.] Scientifically Research Institute of the Ministry of Internal Affairs, Kiev, Ukraine
[Mihaylenko V.; Tereikovska L.] Kyiv National University of Construction and Architecture, Kiev, Ukraine
通讯机构:
[Tereikovskyi, I.] N
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”Ukraine
语种:
英文
关键词:
Cepstral coefficients;Neural network model;Speaker recognition;Two-layer perceptron;Voice signal
期刊:
Advances in Intelligent Systems and Computing
ISSN:
2194-5357
年:
2021
卷:
1247
页码:
508-517
会议名称:
3rd International Conference on Computer Science, Engineering and Education Applications, ICCSEEA 2020
会议论文集名称:
Advances in Computer Science for Engineering and Education III
会议时间:
21 January 2020 through 22 January 2020
主编:
Hu Z.Petoukhov S.Dychka I.He M.
出版者:
Springer
ISBN:
9783030555054
机构署名:
本校为第一机构
院系归属:
教育信息技术学院
摘要:
The article is devoted to the problem of ensuring reliable authentication of users of information systems for various purposes. The prospects of solving this problem through the use of voice signal analysis tools to recognize the speaker’s personality are shown. The main advantages of such tools include the increased durability of the biometric access code, the use of common registration tools, as well as the possibility of implementation of hidden monitoring of the user’s identity. The relevance of research in the direction of developing low...

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