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Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29–31, 2022, Proceedings, Part I

Research Article

Research on the Design of Modern Music Creation System Under Data Technology

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-23950-2_3,
        author={Qin Du and Xiaojun Yu},
        title={Research on the Design of Modern Music Creation System Under Data Technology},
        proceedings={Application of Big Data, Blockchain, and Internet of Things for Education Informatization. Second EAI International Conference, BigIoT-EDU 2022, Virtual Event, July 29--31, 2022, Proceedings, Part I},
        proceedings_a={BIGIOT-EDU},
        year={2023},
        month={1},
        keywords={Deep learning algorithms Modern music Music composition},
        doi={10.1007/978-3-031-23950-2_3}
    }
    
  • Qin Du
    Xiaojun Yu
    Year: 2023
    Research on the Design of Modern Music Creation System Under Data Technology
    BIGIOT-EDU
    Springer
    DOI: 10.1007/978-3-031-23950-2_3
Qin Du1,*, Xiaojun Yu1
  • 1: College of Science and Technology, Jiangxi Normal University, 78 Youth Avenue, Gongqing
*Contact email: duqin19880122@163.com

Abstract

The innovative and diverse nature of modern musical composition has become an indisputable fact. With the rapid development of modern information technology, the corresponding computer music composition has also emerged, and the application of artificial intelligence in the field of music has become an emerging field of research, which poses a new challenge for music sociology. But while computer music poses challenges, it also presents many opportunities for musicians. This paper presents a study of modern music composition based on deep learning algorithms, analysing the trends and characteristics of this new approach, in the hope that such research will make technology work better for music.

Keywords
Deep learning algorithms Modern music Music composition
Published
2023-01-12
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-23950-2_3
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