Research Article
A Survey on Edge Intelligence for Music Composition: Principles, Applications, and Privacy Implications
@INPROCEEDINGS{10.1007/978-3-031-51399-2_3, author={Qinyuan Wang and Youyang Qu and Siyu Nan and Wantong Jiang and Bruce Gu and Shujun Gu}, title={A Survey on Edge Intelligence for Music Composition: Principles, Applications, and Privacy Implications}, proceedings={Tools for Design, Implementation and Verification of Emerging Information Technologies. 18th EAI International Conference, TRIDENTCOM 2023, Nanjing, China, November 11-13, 2023, Proceedings}, proceedings_a={TRIDENTCOM}, year={2024}, month={1}, keywords={Edge Intelligence Music Composition Artificial Intelligence Large Machine Learning Models}, doi={10.1007/978-3-031-51399-2_3} }- Qinyuan Wang
Youyang Qu
Siyu Nan
Wantong Jiang
Bruce Gu
Shujun Gu
Year: 2024
A Survey on Edge Intelligence for Music Composition: Principles, Applications, and Privacy Implications
TRIDENTCOM
Springer
DOI: 10.1007/978-3-031-51399-2_3
Abstract
The field of music composition has seen significant advancements with the introduction of artificial intelligence (AI) techniques. However, traditional cloud-based approaches suffer from limitations such as latency and network dependency. This survey paper explores the emerging concept of edge intelligence and its application in music composition. Edge intelligence leverages local computational resources to enable real-time and on-device music generation, enhancing the creative process and expanding accessibility. By examining various aspects of music composition, including melody creation, harmonization, rhythm generation, arrangement and orchestration, and lyric writing, this paper showcases the potential benefits of incorporating edge intelligence. It also discusses the challenges and limitations associated with this paradigm, such as limited computational resources and privacy concerns. Through a review of existing AI-based music composition tools and platforms, examples of edge intelligence in action are highlighted. The survey paper concludes by emphasizing the transformative potential of edge intelligence in revolutionizing the field of music composition and identifies future research opportunities to further advance this promising domain.
