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International Journal of Art Innovation and Development, 2023, 4(2); doi: 10.38007/IJAID.2023.040203.

Evaluation and Analysis of Psychological Stress in Vocal Performance of Ethnic Singers from the Perspective of Big Data Analysis Psychology


Boyan Yang and Huisuan Wei

Corresponding Author:
Boyan Yang

Sichuan Conservatory of Music, Chengdu 610021, Sichuan, China


In the contemporary music market, ethnic songs and music have become increasingly popular artistic expressions. In this form of performance, ethnic singers face certain challenges, including musical skills, emotional expression, and stage performance. Ethnic singers are prone to psychological tension during the performance process. Due to the potential for poor performance due to psychological tension, evaluating and quantitatively analyzing the psychological tension of ethnic singers in vocal performances can better understand and address these issues. This study aims to explore the psychological stress assessment analysis of ethnic singers' vocal performance from the perspectives of big data analysis and psychology. By collecting and analyzing physiological data (such as heart rate, breathing, etc.) and subjective feedback (such as anxiety level, stage confidence, etc.) during the vocal performance of ethnic singers, objective quantitative analysis of psychological tension can be obtained. Through experiments, it is known that the accuracy of the automatic analysis system for vocal performance status of ethnic singers can reach 95%. In addition, this article would also explore the impact of individual differences, performance backgrounds, and techniques among ethnic singers on psychological tension, as well as suggestions and guidance for adopting effective strategies to improve their performance and stage performance.


Data Analysis, Psycho Analysis, Vocal Performance, Data Collection, Deep Learning

Cite This Paper

Boyan Yang and Huisuan Wei. Evaluation and Analysis of Psychological Stress in Vocal Performance of Ethnic Singers from the Perspective of Big Data Analysis Psychology. International Journal of Art Innovation and Development (2023), Vol. 4, Issue 2: 17-26. https://doi.org/10.38007/IJAID.2023.040203.


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