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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
Author (1):
Alexandre DuBreuil Alexandre DuBreuil
Profile icon Alexandre DuBreuil

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

Generating a basic MIDI file

Magenta comes with multiple command-line scripts (installed in the bin folder of your Magenta environment). Basically, each model has its own console script for dataset preparation, model training, and generation. Let's take a look:

  1. While in the Magenta environment, download the Drums RNN pre-trained model, drum_kit_rnn:
> curl --output "drum_kit_rnn.mag" "http://download.magenta.tensorflow.org/models/drum_kit_rnn.mag"
  1. Then, use the following command to generate your first few MIDI files:
> drums_rnn_generate --bundle_file="drum_kit_rnn.mag"

By default, the preceding command generates the files in /tmp/drums_rnn/generated (on Windows C:\tmp\drums_rnn\generated). You should see 10 new MIDI files, along with timestamps and a generation index.

If you are using a GPU, you can verify if TensorFlow is using it...
You have been reading a chapter from
Hands-On Music Generation with Magenta
Published in: Jan 2020 Publisher: ISBN-13: 9781838824419
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