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Information and communication and chemical technologies
No. 4 (25) - 2024 / 2024-12-31 / Number of views: 4
APPLICATION OF NEURAL NETWORKS FOR VOICE IDENTIFICATION TAKING INTO ACCOUNT THE KAZAKH ACCENT
Authors
Keywords
biometrics, neural network, mel-frequency cepstral coefficients, voice identification, Kazakh accent
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How to quote
Mazakov Т., Shormanov Т. ., Mazakova А. ., Aliaskar М. ., and Jomartova Ш. . “APPLICATION OF NEURAL NETWORKS FOR VOICE IDENTIFICATION TAKING INTO ACCOUNT THE KAZAKH ACCENT”. Vestnik KazUTB, vol. 4, no. 25, Dec. 2024, doi:10.58805/kazutb.v.4.25-720.
Mazakov Т., Shormanov Т. ., Mazakova А. ., Aliaskar М. ., and Jomartova Ш. . “APPLICATION OF NEURAL NETWORKS FOR VOICE IDENTIFICATION TAKING INTO ACCOUNT THE KAZAKH ACCENT”. Vestnik KazUTB, vol. 4, no. 25, Dec. 2024, doi:10.58805/kazutb.v.4.25-720.
Abstract
The article is devoted to the use of neural networks for human voice identification. The paper considers possible approaches to biometric identification: mel-frequency cepstral coefficients (MFCC), language model, and analyzes the advantages and disadvantages of using neural networks. The study identified the main problems that may arise in the course of its solution. A general description of the problem and formulation of the research objectives are given.
