Paper Info
Title
A Tutorial on AI Music Composition
Abstract
ABSTRACTAI music composition is one of the most attractive and important topics in artificial intelligence, music, and multimedia. The typical tasks in AI music composition include melody generation, song writing, accompaniment generation, arrangement, performance generation, timbre rendering, sound generation, and singing voice synthesis, which cover different modalities (e.g., symbolic music score, sound) and well match to the theme of ACM Multimedia. As the rapid development of artificial intelligence techniques such as content creation and deep learning, AI based music composition has achieved rapid progress, but still encountered a lot of challenges. A thorough introduction and review on the basics, the research progress, as well as how to address the challenges in AI music composition are timely and necessary for a broad audience working on artificial intelligence, music, and multimedia. In this tutorial, we will first introduce the background of AI music composition, including music basics and deep learning techniques for music composition. Then we will introduce AI music composition from two perspectives: 1) key components, which include music score generation, music performance generation, and music sound generation; 2) advanced topics, which include music structure/form/style/emotion modeling, timbre synthesis/transfer/mixing, etc. At last, we will point out some research challenges and future directions in AI music composition. This tutorial can serve both academic researchers and industry practitioners working on AI music composition.
Year
DOI
Venue
2021
10.1145/3474085.3478875
International Multimedia Conference
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Xu Tan18823.94
Xiaobing Li200.34