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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

Chapter 6: Data Preparation for Training

  1. MIDI is not a text format, so it is harder to use and modify, but it is extremely common. MusicXML is rather rare and cumbersome but has the advantage of being in text format. ABCNotation is also rather rare, but has the advantage of being in text format and closer to sheet music.
  2. Use the code from chapter_06_example_08.py, and change the program=43 in the extraction.
  3. There are 1,116 rock songs in LMD and 3,138 songs for jazz, blues, and country. Refer to chapter_06_example_02.py and chapter_06_example_03.py to see how to make statistics with genre information.
  4. Use the RepeatSequence class in melody_rnn_pipeline_example.py.
  5. Use the code from chapter_06_example_09.py. Yes, we can train a quantized model with it since the data preparation pipeline quantizes the input.
  6. For small datasets, data augmentation plays an essential role in creating...
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