NUTQ SIGNALLARINI NORMALLASHTIRISH ALGORITMLARI

Authors

  • Mamatov Narzullo Solidjonovich “TIQXMMI” Milliy tadqiqot universiteti
  • Dusanov Xurshid Toshpulotovich Muxammad al-Xorazmiy nomidagi Toshkent axborot texnologiyalari universiteti

Keywords:

Xalaqit, Ovoz tanib olish tizimlari, bo‘sag‘a, Qisqa muddatli energiya, noldan o‘tish chastotasi, frikativ tovushlar, Normallashtirish, Ekstremum

Abstract

Nutq signalining amplitudasi turli tashqi va ichki omillar ta’sirida o‘zgarishi mumkin. Ushbu maqolada nutq signallarini normallashtirish algoritmlari tahlil qilinib, ularning asosiy tamoyillari, energiya va chastota xususiyatlari, shuningdek, VAD (Voice Activity Detection) algoritmi yordamida nutq sohalarini ajratish usullari ko‘rib chiqilgan. Bundan tashqari, ekstremumlar tarqalishiga asoslangan nutq segmentatsiyasi usuli taklif qilinib, uning samaradorligi neyron tarmoqlar yordamida baholangan. Tadqiqot natijalari shuni ko‘rsatadiki, taklif etilgan yondashuv turli shovqinli muhitlarda ham nutq va fon xalaqitlarini samarali ajrata oladi.

References

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Mamatov N., Payazov M., Niyozmatova N., Yuldoshev Yu., Mamadalieva N. Definition of Speech Intelligibility of the Uzbek Language International Journal of Innovative Technology and Exploring Engineering (IJITEE)ISSN: 2278-3075, Volume-9 Issue-3, January 2020, DOI: 10.35940/ijitee. B6370.019320

N.S.Mamatov, O.J.Babomuradov, X.T. Dusanov Automatic speaker recognition through voice using deep neural networks. Journal of Computer Science Engineering and Information Technology Research (JCSEITR) ISSN (Print): 2250-2416; ISSN (Online): Applied Vol. 14, Issue 1; Jun 30 2024, 13-20.

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Published

2025-06-05

How to Cite

Mamatov , N., & Dusanov , X. (2025). NUTQ SIGNALLARINI NORMALLASHTIRISH ALGORITMLARI. DIGITAL TRANSFORMATION AND ARTIFICIAL INTELLIGENCE, 3(3), 66–70. Retrieved from https://dtai.tsue.uz/index.php/dtai/article/view/v3i311

Issue

Vol. 3 No. 3 (2025): Digital Transformation and Artificial Intelligence

Section

Technical sciences

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Copyright (c) 2025 Mamatov Narzullo Solidjonovich, Dusanov Xurshid Toshpulotovich

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