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Hands-On Music Generation with Magenta

You're reading from  Hands-On Music Generation with Magenta

Product type Book
Published in Jan 2020
Publisher
ISBN-13 9781838824419
Pages 360 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Alexandre DuBreuil Alexandre DuBreuil
Profile icon Alexandre DuBreuil
LinkedIn
Alexandre DuBreuil is a software engineer and generative music artist. Through collaborations with bands and artists, he has worked on many generative art projects, such as generative video systems for music bands in concerts that create visuals based on the underlying musical structure, a generative drawing software that creates new content based on a previous artist's work, and generative music exhibits in which the generation is based on real-time events and data. Machine learning has a central role in his music generation projects, and Alexandre has been using Magenta since its release for inspiration, music production, and as the cornerstone for making autonomous music generation systems that create endless soundscapes.
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Table of Contents (16) Chapters

Preface 1. Section 1: Introduction to Artwork Generation
2. Introduction to Magenta and Generative Art 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

Questions

  1. What is the difference between a software synthesizer, such as FluidSynth, and a DAW, such as Ableton Live?
  2. Why is opening MIDI virtual ports required to make music software interact with each other?
  3. Write the code based on chapter_09_example_03.py that, instead of looping the four bars sequence, generates a new sequence every four bars.
  4. Why is syncing based on the MIDI control message not robust?
  5. Why is Magenta Studio such an important project in the music composition ecosystem?
  6. What are the technologies behind Magenta Studio Plugins and Magenta Studio Standalone?

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Authors (1)

Profile icon Alexandre DuBreuil
LinkedIn
Alexandre DuBreuil is a software engineer and generative music artist. Through collaborations with bands and artists, he has worked on many generative art projects, such as generative video systems for music bands in concerts that create visuals based on the underlying musical structure, a generative drawing software that creates new content based on a previous artist's work, and generative music exhibits in which the generation is based on real-time events and data. Machine learning has a central role in his music generation projects, and Alexandre has been using Magenta since its release for inspiration, music production, and as the cornerstone for making autonomous music generation systems that create endless soundscapes.
Read more
See other products by Alexandre DuBreuil

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