Research on the Audience’s Ability to Identify AI-Generated Pop Music

Yanglang Chen

doi:10.63313/ah.9035

Authors

Yanglang Chen City University of Macau, Faculty of Innovation and Design, Macau, 999078, China Author

DOI:

https://doi.org/10.63313/ah.9035

Keywords:

Pop music, AI composition, artificial intelligence recognition, Music perception, human-machine collaboration

Abstract

With the rapid development of generative artificial intelligence in the field of artistic creation, AI composition technology has been widely applied. The music it creates is increasingly similar to human works, making it difficult for listeners to distinguish AI-created popular music. This study aims to deeply explore the audience's ability to recognize AI-created popular music, the factors influencing recognition, and the impact of the characteristics of AI-created music on recognition. The research adopted the questionnaire survey method. Through the data analysis of the returned questionnaires, it provided references for music creation, the music industry, and the improvement of AI's independent creation capabilities.

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