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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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Building a jazz dataset

In the previous section, we introduced the tools that are necessary for building a dataset based on information contained in the MIDI files from the full LMD dataset. In this section, we'll delve deeper into building a custom dataset by using external APIs such as the Last.fm API.

In this section, we'll use the LMD-matched distribution since it is (partially) matched with the MSD containing metadata information that will be useful for us, such as artist and title. That metadata can then be used in conjunction with Last.fm to get the song's genre. We'll also be extracting drum and piano instruments, just like we did in the previous section.

The LMD extraction tools

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Hands-On Music Generation with Magenta
Published in: Jan 2020Publisher: ISBN-13: 9781838824419

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