An Overview of AI Music Generation and its Potential

The scope of AI applications has been expanding rapidly in recent years and has begun to affect creative activities such as painting, literature, music, and dance. In the visual arts in particular, the generation of paintings using generative adversarial networks based on deep learning techniques has led to significant advances, and these generated works have even been sold at auctions for high prices. This white paper focuses on such technological developments in AI in the creativity domain, particularly in the area of music. Although relatively less talked about than image and text generation, this is an area of interest that is undergoing significant change thanks to recent developments in deep learning technology. In this white paper, we will discuss the use of AI in the music field including its technological trends, its business applications, and its impact on society.

Table of Contents

1. Purpose of this Report
2. Types of AI Music Generation Systems
3. Application Areas and Business Potential
4. Social Implications and Challenges of Music Generation Technology
5. Development and Current Status of Music Generation Technology
– Music generation before deep learning
– AI (deep learning) development of music generation technology
– Future research issues
6. About the Author
7. Recommended Information Sources
8. References