Using Formant Characteristics of Russian Vowels and Consonants for User Authentication
https://doi.org/10.55648/1998-6920-2024-18-1-59-69
Abstract
The article proposes a method for user authentication based on formant characteristics. A biometric image has been developed consisting of the formant characteristics of 46 sounds of the Russian language (6 vowels, 4 diphthongs and 36 consonants). An authentication system architecture based on formant characteristics and frequency of the leading formant of vowels and consonants is proposed. A Module for extracting the formant characteristics of vowels and consonants has been developed. A block diagram of the Module for extracting the formant characteristics of vowels and consonants and block diagrams of its submodules are presented. The Random Forest algorithm, k-nearest neighbors, logistic regression, multilayer perceptron and Support Vector Machine are combined into a cluster of algorithms. A block diagram of training and testing models based on a cluster of algorithms is given. Models were trained on the basis of algorithms clusters. The results of the experiment were obtained and their analysis was carried out.
About the Author
Ye. P. Belova
Ufa University of Science and Technology (UUST)
Russian Federation
Russian Federation
Yelena P. Belova, Senior lecturer of the Department of of Information Security Management
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For citations:
Belova Ye.P. Using Formant Characteristics of Russian Vowels and Consonants for User Authentication. The Herald of the Siberian State University of Telecommunications and Information Science. 2024;18(1):59-69. (In Russ.) https://doi.org/10.55648/1998-6920-2024-18-1-59-69
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