НЕЙРОСЕТЕВАЯ РЕСТАВРАЦИЯ КЛАССИКИ УЗБЕКСКОГО КИНО: ТЕХНОЛОГИЧЕСКИЕ И ПЕДАГОГИЧЕСКИЕ АСПЕКТЫ

Abstract

The article is devoted to the analysis of the possibilities of using neural network technologies in the practice of restoring and renovating the soundtracks of classical Uzbek cinema. The study examines the main types of sound defects characteristic of archival film phonograms from the mid-20th century, as well as modern artificial intelligence algorithms used for their correction. Special attention is paid to the pedagogical aspect of integrating neural network tools into the professional training system for sound engineers. The author substantiates the  necessity of developing students' skills for critical and responsible work with AI technologies as a vital condition for preserving the artistic authenticity of the national cinematic heritage.