Definition of Speech Intelligibility of the Uzbek Language
Narzillo Mamatov1, Mirabbos Payazov2, Nilufar Niyozmatova3, Yusuf Yuldoshev4, Naibakhon Mamadalieva5
1Mamatov Narzillo*, Tashkent University Information Technologies Al-Kharezmi, Tashkent, Uzbekistan.
2Payazov Mirabbos, Tashkent University Information Technologies Kharezmi, Tashkent, Uzbekistan.
3Niyozmatova Nilufar, Tashkent University Information Technologies Al-Kharezmi, Tashkent, Uzbekistan.
4Yuldoshev Yusuf, Tashkent University Information Technologies Al-Kharezmi, Tashkent, Uzbekistan.
5Naibakhon Mamadalieva, Uzbekistan National University of Uzbekistan, Mirzo Ulugbek, Tashkent, Uzbekistan.
Manuscript received on December 15, 2019. | Revised Manuscript received on December 20, 2019. | Manuscript published on January 10, 2020. | PP: 2863-2865 | Volume-9 Issue-3, January 2020. | Retrieval Number: B6370129219/2020©BEIESP | DOI: 10.35940/ijitee.B6370.019320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This article proposes an algorithm for automating the process of personality recognition based on voice, provides an analysis of existing methods used to solve the problem that needs to be solved. A method was implemented based on the Gaussian mixture model, which distinguishes a person’s voice with high accuracy. The components of this model allow you to simulate sound characteristics that are unique to each person. The results of the proposed algorithm and the use of voice recognition based on the results of the proposed algorithm are presented.
Keywords: Speech Signals, Phoneme, Filtering, Noises, Acoustics, Frequency Range.
Scope of the Article: Frequency Selective Surface