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  • Book Overview & Buying Hands-On Music Generation with Magenta
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Hands-On Music Generation with Magenta

Hands-On Music Generation with Magenta

By : Alexandre DuBreuil
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Hands-On Music Generation with Magenta

Hands-On Music Generation with Magenta

4 (3)
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)
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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

Technical requirements

In this chapter, we'll use the following tools:

  • Python, Conda, and pip, to install and execute the Magenta environment
  • Magenta, to test our setup by performing music generation
  • Magenta GPU (optional), CUDA drivers, and cuDNN drivers, to make Magenta run on the GPU
  • FluidSynth, to listen to the generated music sample using a software synthesizer
  • Other optional software we might use throughout this book, such as Audacity for audio editing, MuseScore for sheet music editing, and Jupyter Notebook for code editing.

It is recommended that you follow this book's source code when you read the chapters in this book. The source code also provides useful scripts and tips. Follow these steps to check out the code in your user directory (you can use another location if you want):

  1. First, you need to install Git, which can be installed on any platform by downloading and executing the installer at git-scm.com/downloads. Then, follow the prompts and make sure you add the program to your PATH so that it is available on the command line.
  2. Then, clone the source code repository by opening a new Terminal and executing the following command:
> git clone https://github.com/PacktPublishing/hands-on-music-generation-with-magenta
> cd hands-on-music-generation-with-magenta

Each chapter has its own folder; Chapter01, Chapter02, and so on. For example, the code for this chapter is located at https://github.com/PacktPublishing/hands-on-music-generation-with-magenta/tree/master/Chapter01. The examples and code snippets will be located in this chapter's folder. For this chapter, you should open cd Chapter01 before you start.

We won't be using a lot of Git commands except git clone, which duplicates a code repository to your machine, but if you are unfamiliar with Git and want to learn more, a good place to start is the excellent Git Book (git-scm.com/book/en/v2), which is available in multiple languages.

Check out the following video to see the Code in Action:
http://bit.ly/2O847tW

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