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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

Summary

In this chapter, we've covered the interaction of Magenta with established music production software.

First, we have shown how to send MIDI from Magenta to DAWs or synthesizers. We started by looking at MIDI ports using Mido, a powerful Python library to handle MIDI operations. We've shown examples of how to loop MIDI in Magenta, which requires proper timing and threading tools. We also looked at synchronization between Magenta and a DAW using various methods, most notably using the MIDI clock messages and transport messages. We finished the MIDI section by showing how Magenta could send MIDI directly to hardware synthesizers, such as keyboards.

Finally, we introduced Magenta Studio, both as a standalone application and as an Ableton Live plugin. We looked at its integration in Ableton Live and the importance of integrating Magenta in existing music tools.

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