Research on the Role of Digital Media Technology in the Cultural Inheritance of Fujian-Taiwan Folk Songs

Fujian-Taiwan folk song culture is a typical representative of the excellent traditional culture of the Chinese nation, and it has important cultural and artistic value for the inheritance and protection of Fujian-Taiwan folk song culture. In this paper, an infectious disease model is used to construct a cultural inheritance model of Fujian-Taiwan folk songs. The model parameters are solved using genetic algorithms to explore the influence of digital media technology support on the cultural inheritance development trend of Fujian-Taiwan folk songs. Based on digital media technology, the Hidden Markov Algorithm is used to design an automatic creation model for Fujian-Taiwan folk songs. It improves the quantity and quality of the creation of Min-Taiwan folk songs, increases the dissemination base of Min-Taiwan folk song culture, and thus promotes the inheritance of Min-Taiwan folk song culture. The HMM model used in this paper is significantly better than other models involved in the comparison of both reconstruction performance and objective index evaluation. In the subjective human-ear comparison, the mean scores of the Fujian-Taiwan folk song samples created by the HMM model in terms of naturalness and pleasantness were 8.47 and 8.39, respectively, which were significantly higher than those of the other models, and were closer to the mean scores of the real samples. This paper’s model is effective in creating Fujian-Taiwan folk songs and contributes to the lasting heritage of Fujian-Taiwan folk song culture.