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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Tianxing, Z.: The development and teaching characteristics of computer music. Art Res. J. Harbin Normal Univ. 32(01), 2251–2264 (2012)
Hongyuan, Z.: Research on automatic composition and arrangement based on deep learning. Master's thesis, University of Science and Technology of China, Hefei (2019)
Xiaomei, Q.: Research on the teaching characteristics and application of computer music, 16(04), 887–899 (2012)
Pengyun, L.: “Flying beyond the boundary”:A study of Liu Jian's interactive electronic music composition. J. Nanjing Arts College (Music and Performance Edition) March 2013
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Du, Q., Yu, X. (2023). Research on the Design of Modern Music Creation System Under Data Technology. In: Jan, M.A., Khan, F. (eds) Application of Big Data, Blockchain, and Internet of Things for Education Informatization. BigIoT-EDU 2022. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 465. Springer, Cham. https://doi.org/10.1007/978-3-031-23950-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-031-23950-2_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-23949-6
Online ISBN: 978-3-031-23950-2
eBook Packages: Computer ScienceComputer Science (R0)