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International Journal of Art Innovation and Development, 2023, 4(2); doi: 10.38007/IJAID.2023.040201.

Optimizing Ethnic Vocal Performance Using Artificial Intelligence Technology


Yingyan Zhang

Corresponding Author:
Yingyan Zhang

Xinghai Conservatory of Music, Guangzhou, China

Center for International Education, Philippine Christian University, Manila, Philippines


The regional characteristics of Chinese folk songs are a unique artistic expression with a long history of Chinese ethnic culture. How to optimize the performance of ethnic vocal music is a concern for people. The Conservatory of Music admits 36 ethnic vocal performers aged 18-22 who specialize in music to perform. Senior professional music teachers subjectively evaluate the quality of songs on a 10 point scale based on their rich vocal knowledge and experience. Based on the characteristics of ethnic vocal performance, this article evaluated the singing effect in ethnic vocal performance using BP (Back Propagation) neural network using three selected acoustic indicators: average energy, frequency error, and range error. The average subjective evaluation score in this article was 8.4, and the average neural network evaluation score was 8.9. This article would provide a basis for the objective evaluation of singing sound quality in ethnic vocal performance using artificial intelligence technology.


Ethnic Vocal Performance, Artificial Intelligence Technology, BP Neural Network, Acoustic Indicators

Cite This Paper

Yingyan Zhang. Optimizing Ethnic Vocal Performance Using Artificial Intelligence Technology. International Journal of Art Innovation and Development (2023), Vol. 4, Issue 2: 1-8. https://doi.org/10.38007/IJAID.2023.040201.


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