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

Product typeBook
Published inJan 2020
Reading LevelExpert
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ISBN-139781838824419
Edition1st Edition
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Alexandre DuBreuil
Alexandre DuBreuil
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Alexandre DuBreuil

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 about Alexandre DuBreuil

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Technical requirements

In this chapter, we'll use the following tools:

  • Python, Conda, and pip, to install and execute the Magenta environment
  • Magenta, to test our setup by performing music generation
  • Magenta GPU (optional), CUDA drivers, and cuDNN drivers, to make Magenta run on the GPU
  • FluidSynth, to listen to the generated music sample using a software synthesizer
  • Other optional software we might use throughout this book, such as Audacity for audio editing, MuseScore for sheet music editing, and Jupyter Notebook for code editing.

It is recommended that you follow this book's source code when you read the chapters in this book. The source code also provides useful scripts and tips. Follow these steps to check out the code in your user directory (you can use another location if you want):

  1. First, you need to install Git, which can be installed on any platform by downloading...
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Author (1)

author image
Alexandre DuBreuil

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 about Alexandre DuBreuil