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
Purpose of this Report
Types of AI Music Generation Systems
Application Areas and Business Potential
Social Implications and Challenges of Music Generation Technology
Development and Current Status of Music Generation Technology – Music generation before deep learning – AI (deep learning) development of music generation technology – Future research issues
About the Author
Recommended Information Sources
References
Media, contents
In this section we present the multimedia contents of the white paper. Please download the entire white paper by using the button at the top.
Types of AI Music Generation Systems
Pop song accompaniment generated by PopMag
Songs generated by FIGARO
Drum sounds generated using RAVE
Frank Sinatra singing “Somewhere over the Rainbow”
Soundify finding the appropriate audio clip for various input videos
応用分野とビジネスポテンシャル
Flow Machinesで作曲されたDaddy’s Car
AI and Human Improvisation in the AI DJ Project
Perpetually Performing Death Metal by Databots
Development and Current Status of Music Generation Technology
Yanis Xenakis, “Metastasis.”
Piano music generated by Performance RNN
An example of a melody embedded in the latent space of MusicVAE
Interpolating a melody using MusicVAE
Ableton Live plug-in of GrooVAE
M4L.RhythmVAE – Rhythm generation device built for Max for Live/Ableton Live
Audio samples generated by MuseGAN
Audio samples generated by MuseNet
An example of audio style transfer using MuseMorphose
An example of rain sounds generated by Word2Wave
Examples of video and sound matching using Soundify
NSynth Super Overview
Audio samples generated by RAVE
Future research issues
Result of using DDSP to generate a cello sound based on a violin sound
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