Author(s)

Rui Liu

Corresponding Author

Rui Liu

Abstract

Against the backdrop of the rapid rise of artificial intelligence technology, folk instrumental music, as the core carrier of Chinese traditional culture, is facing the dual challenges of digital modeling and cultural expression. This study focuses on the timbre of Chinese folk instrumental music, exploring the application mechanism of artificial intelligence in high-precision timbre modeling and cultural symbol transmission. By analyzing the limitations of current timbre modeling technology and the complexity of the timbre characteristics of folk instrumental music, deep learning, graph neural networks and cultural knowledge graphs are combined to build a modeling system that integrates timbre recognition with cultural semantic embedding. The study formulates measures such as building a high-quality timbre database, accessing cultural feedback loops, and achieving a sound-meaning mutual promotion generation system to promote the digitalization path of folk music where technology and culture are integrated and coexist. This study not only makes breakthroughs in the field of timbre modeling technology, but also provides innovative examples in the logic of cultural inheritance, opening up the application boundaries of artificial intelligence in the protection and dissemination of intangible cultural heritage.

Keywords

Artificial Intelligence; Folk Instrumental Music; Timbre Modeling; Cultural Symbols; Deep Learning