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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/12312
Title: Voice User Identification in Access Control Systems
Other Titles: Голосовая идентификация пользователя в системах контроля доступа
Authors: Menshakou, P. A.
Murashko, I. A.
Меньшаков, П. А.
Мурашко, И. А.
Keywords: материалы конференций
Voice
identification
neural networks
Issue Date: 2017
Publisher: БГУИР
Citation: Menshakou, P. A. Voice User Identification in Access Control Systems / P. A. Menshakou, I. A. Murashko // Открытые семантические технологии проектирования интеллектуальных систем = Open Semantic Technologies for Intelligent Systems (OSTIS-2017) : материалы международной научно-технической конференции (Минск, 16 - 18 февраля 2017 года) / редкол. : В. В. Голенков (отв. ред.) [и др.]. – Минск : БГУИР, 2017. – С. 175 – 178.
Abstract: In view of the constant development of any business, we have a lot of data that must be protected. At the moment, the access control checkpoints are equipped with various types of access control. But most of the access control devices have a high price. Moreover, a large part of the costs fall on the allocation of personal identification for each user agent. The solution to this problem is voice recognition. The use of biometrics eliminates the chips and access cards. Avoid loss of means of identification and theft. And the use of the voice will eliminate the expensive equipment to read the data.
URI: https://libeldoc.bsuir.by/handle/123456789/12312
Appears in Collections:OSTIS-2017

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