RESTORING ARCHIVAL FOLKLORE RECORDINGS USING MODERN AI TECHNOLOGIES AND THEIR APPLICATION IN EDUCATION

ORIGINAL SOURCE
Originally published in JOURNAL OF ARTS AND HUMANITIES; Vol. 9 No. 3 (2026): JOURNAL OF ARTS AND HUMANITIES; 112-116.

Abdreymov, Manas and Oteshova, Gulayim (2026) RESTORING ARCHIVAL FOLKLORE RECORDINGS USING MODERN AI TECHNOLOGIES AND THEIR APPLICATION IN EDUCATION. JOURNAL OF ARTS AND HUMANITIES; Vol. 9 No. 3 (2026): JOURNAL OF ARTS AND HUMANITIES; 112-116.

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Abstract

This article explores the application of modern artificial intelligence (AI) technologies in the restoration of rare folklore works, specifically Karakalpak epics (dastans) and bakhshi performances recorded on magnetic tapes during the mid-to-late 20th century. It analyzes technical algorithms for eliminating audio defects—such as tape hiss, mechanical clicks, background noise, and high-frequency loss—using spectral editing software like iZotope RX and neural network-based tools. Furthermore, the study scientifically grounds the pedagogical efficacy of integrating these digitized and restored folklore samples into the academic curricula of "Folklore and Ethnography" and "Technogenic Art" programs in higher educational institutions.

Item Type: Article
Additional Information: Imported from Journal of Arts and Humanities
SWORD Depositor: Admin User
Depositing User: Admin User
Date Deposited: 02 Oct 2026 21:11
Last Modified: 02 Oct 2026 21:11
URI: https://universalpublishings.uz/id/eprint/19832

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