Algorithm For Identification Based On Voice
Narzillo Mamatov1, Abdurashid Samijonov2, Nilufar Niyozmatova3, Yusuf Yuldoshev4, Naibakhon Mamadalieva5
1Mamatov Narzillo*, Tashkent University Information Technologies named after Al-Kharezmi, Tashkent,
2Niyozmatova Nilufar, Tashkent University Information Technologies named after Al-Kharezmi, Tashkent,
3Samijonov Abdurashid, Bauman Moscow State Technical University, Moscow, Russia
4Yuldoshev Yusuf, Tashkent University Information Technologies named after Al-Kharezmi, Tashkent,
5Naibakhon Mamadalieva, Uzbekistan National University of Uzbekistan named after Mirzo Ulugbek, Tashkent,
Manuscript received on November 16, 2019. | Revised Manuscript received on 25 November, 2019. | Manuscript published on December 10, 2019. | PP: 3431-3434 | Volume-9 Issue-2, December 2019. | Retrieval Number: B6368129219/2019©BEIESP | DOI: 10.35940/ijitee.B6368.129219
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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: Algorithm, Identification, Voice, Model, Gaussian Mixture.
Scope of the Article: Algorithm Engineering