Book Image

Hands-On Music Generation with Magenta

By : Alexandre DuBreuil
Book Image

Hands-On Music Generation with Magenta

By: Alexandre DuBreuil

Overview of this book

The importance of machine learning (ML) in art is growing at a rapid pace due to recent advancements in the field, and Magenta is at the forefront of this innovation. With this book, you’ll follow a hands-on approach to using ML models for music generation, learning 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. The book will help you learn how to use the models in Magenta for generating percussion sequences, monophonic and polyphonic melodies in MIDI, and instrument sounds in raw audio. Through practical examples and in-depth explanations, you’ll understand ML models such as RNNs, VAEs, and GANs. Using this knowledge, you’ll create and train your own models for advanced music generation use cases, along with preparing new datasets. Finally, you’ll get to grips with integrating Magenta with other technologies, such as digital audio workstations (DAWs), and using Magenta.js to distribute music generation apps in the browser. By the end of this book, you'll be well-versed with Magenta and have developed the skills you need to use ML models for music generation in your own style.
Table of Contents (16 chapters)
1
Section 1: Introduction to Artwork Generation
3
Section 2: Music Generation with Machine Learning
8
Section 3: Training, Learning, and Generating a Specific Style
11
Section 4: Making Your Models Interact with Other Applications

Sending MIDI to a DAW or synthesizer

Since the start of this book, we've been generating MIDI as physical files and then listening to them using either MuseScore or FluidSynth. This is a good way of composing music, generating new sequences, keeping the ones we like, and generating more based on them. But what if we'd like the MIDI notes to play continuously as the model generates them? This is a good way of making an autonomous music generation system, where Magenta is the composer, and an external program is a player, as it plays the notes it receives using instruments.

In this section, we'll be looking at how to send MIDI from Magenta to synthesizers or DAWs. We'll also show how to loop the sequences that are generated in Magenta and how to synchronize our Magenta program with the application it is sending the sequences to.

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