Constructing a Digitalized Timbre Feature Library for Suona Music of Intangible Cultural Heritage Using Random Forest Classifier

Abstract

As an important part of the intangible cultural heritage, the digital development of the suona is an innovative combination of modern technology and intangible culture, which can be regarded as one of the ways to inherit the intangible culture in the new era. This paper recognizes the existence of the diversity of suona in traditional applications, and proposes to improve the suona timbre recognition method of random forest according to the musical characteristics of suona. Comparing My SQL and Oracle databases, My SQL is selected as the main technology of digital timbre feature library for suona music, and the functional modules of digital timbre feature library for suona music are designed to be composed of two systems: portal subsystem and background management subsystem. Analyze the accuracy of the suona timbre recognition model of residual network combined with random forest model. Analyze the experience of using the digital display design of suona music database by combining the sensory, emotional, interactive, thinking, aesthetic and entertainment dimensions of experience design. Experiencers were able to gain some gains from sensory, emotional, thinking, aesthetic, and entertainment dimensions, and the mean score of the experience of the digital display design of non-heritage suona music was 4.30.