ART AND CULTURE BULLETIN
Articles · 2026/2

SCIENTIFIC AND PRACTICAL BASES OF RESTORING ARCHIVAL MATERIALS OF THE “KARAKALPAKFILM” STATE ENTERPRISE USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES

  • Quatbay Nukusbaevich Tilepov Nukus branch of the Uzbek State Institute of Arts and Culture image/svg+xml
  • Avazbek Otabek ugli Toxirov Nukus branch of the Uzbek State Institute of Arts and Culture image/svg+xml
DOIhttps://doi.org/10.66900/h1qv4p92
Keywords

Artificial intelligence, audio restoration, video restoration, archival materials, noise reduction, signal processing, neural networks

Abstract

This article systematically explores the restoration of archival documentary films from the "Karakalpakfilm" state institution and audio recordings of traditional musical instrument performances using artificial intelligence technologies. The study analyzes the significance of modern AI algorithms (CNN, RNN, GAN) in enhancing the quality of legacy audio and video recordings, reducing noise, and preserving national cultural heritage in digital formats. The results demonstrate the efficiency of the AI-driven restoration process and its superiority over traditional restoration methods.

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