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Katta Hajmli Ma’Lumotlardan Ovozli Xabarlarni Ajratib Olishda Parallel Hisoblash Algoritmlari Va Uning Dasturiy Majmuasini Ishlab Chiqish

Author

Listed:
  • Yulduz Jummayeva

Abstract

Ushbu maqolada katta hajmli ma’lumotlardan ovozli xabarlarni ajratib olish masalasi ko‘rib chiqiladi. So‘nggiyillarda raqamli ma’lumotlar hajmining keskin ortishi natijasida an’anaviy ketma-ket hisoblash usullari samaradorliginiyo‘qotmoqda. Shu sababli, maqolada parallel hisoblash texnologiyalariga asoslangan yondashuv taklif etiladi. Taklifetilgan algoritm ovozli ma’lumotlar oqimini tezkor qayta ishlash, shovqindan tozalash va nutq segmentlarini ajratib olishimkonini beradi. Bunda MapReduce, CUDA va Dask kabi parallel hisoblash modellaridan foydalanilgan. Mazkur tadqiqotsun’iy intellekt, nutqni aniqlash, media ma’lumotlarni qayta ishlash hamda Big Data tizimlarida qo‘llash uchun amaliyahamiyatga ega.

Suggested Citation

  • Yulduz Jummayeva, 2025. "Katta Hajmli Ma’Lumotlardan Ovozli Xabarlarni Ajratib Olishda Parallel Hisoblash Algoritmlari Va Uning Dasturiy Majmuasini Ishlab Chiqish," GREEN ECONOMY AND DEVELOPMENT, "Ma'rifat-Print-Media" LLC, Tashkent State University of Economics, vol. 3(10), October.
    • Handle: RePEc:teu:ged000:v:3:y:2025:i:10:id:7367
    DOI: 10.5281/zenodo.17439211
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