Generative AI · Ebook

Music Generation: From Notes to Neural Audio

by Shriira Press

A comprehensive, self-contained guide to how machines learn to compose and synthesize music — from symbolic note-by-note models to the neural-audio-codec language models and latent audio diffusion systems behind today's text-to-music tools. This is the fourth volume in a series; it blends intuition, mathematics, and runnable code, and builds on its companions on machine learning, image generation, and video generation.

Contents

1. 1Preface
2. 2Chapter 1 — What Is Music Generation?
3. 3Chapter 2 — Sound, Music, and the Ear
4. 4Chapter 3 — Representing Music for Machines
5. 5Chapter 4 — Sequence Models for Symbolic Music
6. 6Chapter 5 — The Music Transformer and Long-Range Structure
7. 7Chapter 6 — Generating Raw Audio and Neural Audio Codecs
8. 8Chapter 7 — Autoregressive Audio Language Models
9. 9Chapter 8 — Diffusion Models for Audio
10. 10Chapter 9 — Conditioning and Control
11. 11Chapter 10 — Musical Structure and Long-Form Coherence
12. 12Chapter 11 — Evaluating Generated Music
13. 13Chapter 12 — Systems, Real-Time, and Deployment
14. 14Chapter 13 — Ethics, Copyright, and the Music Industry
15. 15Appendix A — Notation and Symbols
16. 16Appendix B — Further Reading