Construction of Artificial Intelligence-Driven Digital Preservation and Cybersecurity Protection System for Historical Ethnic Music

Abstract

This study investigates the possible uses of artificial intelligence technology in the digital preservation of historical ethnic music with a complete cybersecurity framework. Specifically, this focuses on unique AI technologies stemming from music pedagogy and the digital archiving of compositions created by female musicians from the Ming Dynasty of China.Using the concept of a value-based integrated approach, the research develops an AI-based audio restoration, recognition, classification system with deep learning, knowledge graphs, blockchain technologies, and advanced cybersecurity for the protection of vulnerable musical cultural heritage. The study aims to solve the most pressing issues in the preservation of marginalised musical traditions.This research employs an interdisciplinary method which combines the processes of cultural study and technical design. By applying powerful AI frameworks along with culture, this research advances the preservation of digital heritage, especially for the underrepresented musical traditions.