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.
| Mualliflar | Дилором , Мирсаидова, Дилором , Мирсаидова, Дилором , Мирсаидова, Дилором , Мирсаидова |
|---|---|
| Jurnal | Санъат ва маданият Ахборотномаси |
| Nashr sanasi | 2026-03-02 |
| Son | 2026 |
| Betlar | 244-247 |
| Til | Rus |
| DOI | 10.66900/6gfkrq55 |
DOI: 10.66900/6gfkrq55 · Maqolaning asl sahifasi
neural network technologies, sound restoration, phonogram, Uzbek cinematography, sound engineering, pedagogy, artificial intelligence., neyrotarmaq texnologiyaları, dawıs restavraciyası, fonogramma, ózbek kinematografiyası, ses rejissyorlıǵı, pedagogika, jasalma intellekt., нейросетевые технологии, реставрация звука, фонограмма, узбекский кинематограф, звукорежиссура, педагогика, искусственный интеллект., neyrotarmoq texnologiyalari, ovoz restavratsiyasi, fonogramma, o‘zbek kinematografiyasi, ovoz rejissyorligi, pedagogika, sun’iy intellekt.
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