Identification and authentication of user voice using DNN features and i-vector

Identification and authentication of user voice using DNN features and i-vector

Currently, computerized systems, such as language learning, telephone advertising, criminal cases, computerized health care and education systems are rapidly spreading and creating an urgent need for improved productivity. Speech recordings are a rich source of personal, confidential data that can b...

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Bibliographic Details
Main Authors: Kydyrbekova Aizat, Othman Mohamed, Mamyrbayev Orken, Akhmediyarova Ainur, Bagashar Zhumazhanov
Format: Article
Language:English
Published: Taylor & Francis Group 2020-01-01
Series:Cogent Engineering
Subjects:
voice identification
voice authentication
deep neural network
speech recognition
elementary speech unit (esu)
Online Access:http://dx.doi.org/10.1080/23311916.2020.1751557

Internet

http://dx.doi.org/10.1080/23311916.2020.1751557

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