Development of a personality recognition system by voice

Authors

  • Orken Mamyrbayev Institute of Information and Computational Technologies CS MES RK
  • Aizat Kydyrbekova Institute of Information and Computational Technologies CS MES RK
  • Dina Oralbekova Institute of Information and Computational Technologies CS MES RK
  • Bagashar Zhumazhanov Almaty Institute of Physics and Technology
  • Mohamed Othman Universiti Putra Malaysia

Keywords:

voice recognition system; MFCC; GMM; speech database

Abstract

Abstract— the paper discusses the development of a voice recognition system based on cepstral coefficients on the chalk scale (Mel-frequency Cepstral Coefficients, MFCC) and mixed Gaussian models (Gaussian Mixture Models, GMM). The aim of the research is to create a simple and convenient automatic speaker recognition system. The description of the created speech database for the Kazakh language is given. Experiments have shown quite good results of the system FAR 8.05%.

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Published

2020-12-07

How to Cite

Mamyrbayev, O., Kydyrbekova, A., Oralbekova, D., Zhumazhanov, B., & Othman, M. (2020). Development of a personality recognition system by voice. ADVANCED TECHNOLOGIES AND COMPUTER SCIENCE, (3), 18–22. Retrieved from https://atcs.iict.kz/index.php/atcs/article/view/34

Issue

No. 3 (2020): Advanced technologies and computer science

Section

Artificial intelligence technologies

License

Copyright (c) 2020 ADVANCE TECHNOLOGIES AND COMPUTER SCIENCE

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.