Book

Hands-On Music Generation with Magenta

The place of machine learning in art is growing at a rapid pace because of recent advancements in the field. Magenta is at the forefront of that innovation. This book provides a hands-on approach to machine learning models for music generation and demonstrates how to integrate them into an existing music production workflow. Complete with practical examples and explanations of the theoretical background required to understand the underlying technologies, this book is the perfect starting point to begin exploring music generation

Offered byPackt Logo

Difficulty Level

Intermediate

Completion Time

12h

Language

English

About Book

Who Is This Book For?

This book is for technically inclined artists and musically inclined computer scientists. Readers who want to get hands-on with building generative music applications that use deep learning will also find this book useful. Although prior musical or technical competence is not required, basic knowledge of the Python programming language is assumed.

Book content

chapters 12h total length

Introduction on Magenta and generative art

Generating drum sequences with DrumsRNN

Generating polyphonic melodies

Score interpolation with MusicVAE

Audio generation with GANSynth

Data preparation and pipelines

Training an existing model on a specific style

Magenta in the browser with Magenta.js

Making Magenta interact with music applications

Related Resources

Access Ready-to-Use Books for Free!

Get instant access to a library of pre-built books—free trial, no credit card required. Start training your team in minutes!

No credit card required