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Hands-On Music Generation with Magenta

You're reading from   Hands-On Music Generation with Magenta Explore the role of deep learning in music generation and assisted music composition

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Product type Paperback
Published in Jan 2020
Publisher
ISBN-13 9781838824419
Length 360 pages
Edition 1st Edition
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Author (1):
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Alexandre DuBreuil Alexandre DuBreuil
Author Profile Icon Alexandre DuBreuil
Alexandre DuBreuil
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Table of Contents (16) Chapters Close

Preface 1. Section 1: Introduction to Artwork Generation
2. Introduction to Magenta and Generative Art FREE CHAPTER 3. Section 2: Music Generation with Machine Learning
4. Generating Drum Sequences with the Drums RNN 5. Generating Polyphonic Melodies 6. Latent Space Interpolation with MusicVAE 7. Audio Generation with NSynth and GANSynth 8. Section 3: Training, Learning, and Generating a Specific Style
9. Data Preparation for Training 10. Training Magenta Models 11. Section 4: Making Your Models Interact with Other Applications
12. Magenta in the Browser with Magenta.js 13. Making Magenta Interact with Music Applications 14. Assessments 15. Other Books You May Enjoy

Creating a Magenta.js web application

Now that we have introduced the concepts surrounding Magenta.js, we'll be creating a web application using Magenta.js. Let's create a web application where we generate a trio of instruments (the drum kit, the bass, and the lead) using MusicVAE, where we can change the lead instrument for a GANSynth-generated instrument.

We'll be building this application step by step. First, we'll make an app that generates instruments, using GANSynth. Then, we'll create an app in which we can sample a trio sequence. Finally, we'll merge the two apps together.

Generating instruments in the browser using GANSynth

For the first part of our example, we'll use GANSynth to...

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