The Application of Artificial Intelligence in the Dissemination of Jiangxi Folk Songs

Wenzhe Hu

doi:10.54097/6pyp1v42

Authors

Wenzhe Hu

DOI:

https://doi.org/10.54097/6pyp1v42

Keywords:

Artificial intelligence; Jiangxi folk songs; Dissemination; Speech recognition; Data mining; Virtual reality.

Abstract

With the rapid progress of artificial intelligence technology, its application in many fields has become increasingly popular. Jiangxi folk songs, as a treasure in the treasure house of traditional Chinese culture, are encountering communication challenges. The purpose of this article is to study the potential application of AI technology in the dissemination of Jiangxi folk songs, with the expectation of providing new perspectives for the preservation and innovation of Jiangxi folk songs. The article firstly outlines the historical evolution of Jiangxi folk songs and the latest progress of AI technology, and then analyses the urgency and possibility of integrating AI technology into the dissemination of Jiangxi folk songs. Finally, the article delves into the specific application strategies of AI technology in Jiangxi folk song communication, covering such cutting-edge technologies as speech recognition and synthesis, data mining and analysis, machine learning and recommender system, as well as virtual reality and augmented reality.

Downloads

Download data is not yet available.

References

[1] Li Qiang, Huang Hao, Li Xiaofeng. Research on the Application of Artificial Intelligence Technology in Music Communication[J]. Modern Communication (Journal of Communication University of China), 2020, 12(2):108-112.

[2] Zhang Hui, Wang Ke. Application and development trend of artificial intelligence technology in music communication[J]. Music Exploration, 2020, 12(3):78-82.

[3] Yang Liu, Liu Bing, Li Xiaofeng. Research on music recommendation system based on artificial intelligence[J]. Computer Engineering and Design, 2019, 40(10):2401-2405.

[4] Chen S, Wang QB, Li XF. Research on music classification and tag recommendation based on deep learning[J]. Computer Application and Software, 2018, 35(12):102-106.

[5] Zhao Jingjing, Wang Ke. Application and challenges of artificial intelligence in the field of music communication[J]. Music Research, 2019, 12(4):93-97.

[6] Liu Bing, Yang Liu, Li Xiaofeng. Research on music dissemination and recommendation algorithm based on big data[J]. Computer Engineering and Design, 2019, 40(15):3754-3758.

[7] hui zhang, ke wang. Research on the application of artificial intelligence technology in music education dissemination[J]. Research on Music Education, 2020, 12(1): 39-43.

[8] Li Qiang, Huang Hao, Li Xiaofeng. Research on music creation and generation technology based on artificial intelligence[J]. Computer Music, 2020, 12(2):36-40.

[9] Yang Liu, Liu Bing, Li Xiaofeng. Research on music emotion analysis based on deep learning[J]. Computer Engineering and Design, 2019, 40(20):5471-5475.

[10] Zhao Jingjing, Wang Ke. Research on the application of artificial intelligence in music copyright protection[J]. Music Communication, 2019, 12(3):58-62.

[11] Chen S, Wang QB, Li XF. Research on automatic music rhythm extraction technology based on neural network[J]. Computer Application and Software, 2018, 35(16):132-136.

[12] Li Qiang, Huang Hao, Li Xiaofeng. Research on the application of artificial intelligence technology in music recommendation and discovery[J]. Modern Communication (Journal of Communication University of China), 2019, 12(1): 89-93.

[13] zhang hui, wang ke. Innovative application and prospect of artificial intelligence technology in music communication[J]. Music Exploration, 2021, 12(2):45-50.