Human voice identification based on the detection of fundamental harmonics

Author:

Aliaskar Magzhan1,Mazakov Talgat2,Mazakova Aigerim2,Jomartova Sholpan2,Shormanov Timur3

Affiliation:

1. Al-Farabi Kazakh National University,Department of Information Systems,Almaty,Kazakhstan

2. Al-Farabi Kazakh National University,Department of Artificial Intelligence and Big Data,Almaty,Kazakhstan

3. Al-Farabi Kazakh National University,Department of Informatics,Almaty,Kazakhstan

Publisher

IEEE

Reference18 articles.

1. Biometric identification of users of information systems based on a cluster model of elementary speech units;vasiliev;Dis Candidate of Technical Sciences on special 05 13 19 – Ufa State aviation tech un-,2017

2. The image processing algorithms for biometric identification by fingerprints;mazakov;News of the national academy of sciences of the republic of Kazakhstan Series of geology and technical sciences,2020

3. Theoretical aspects of algorithms for processing and classification of speech signals;agranovskiy;M Radio and Communication,2004

4. Programmer's guide to working with sound;kintzel,2000

5. Automated system for monitoring the threat of waterworks breakout;mazakov;Journal of Theoretical and Applied Information Technology,2020

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3. Biometric Authentification Comparison: Toward Secure Human Recognition;2023 International Conference on Computational Science and Computational Intelligence (CSCI);2023-12-13

4. Early Recognition of the Speaker’s Age;2023 21st International Conference on Emerging eLearning Technologies and Applications (ICETA);2023-10-26

5. A Simplified Approach of Voice Authentication and Device Control;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

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