https://github.com/mattczyr/algorithmiccomposition

Final project for Deep Listening (ARTS-4410) at RPI in Summer 2019
https://github.com/mattczyr/algorithmiccomposition

algorithmic-composition midi python

Last synced: 10 days ago
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Final project for Deep Listening (ARTS-4410) at RPI in Summer 2019

• Host: GitHub
• URL: https://github.com/mattczyr/algorithmiccomposition
• Owner: MattCzyr
• Created: 2019-08-04T21:23:57.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-08-18T01:55:37.000Z (over 5 years ago)
• Last Synced: 2024-11-23T04:16:18.470Z (2 months ago)
• Topics: algorithmic-composition, midi, python
• Language: Python
• Homepage:
• Size: 2.33 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Algorithmic Composition

Final project for Deep Listening (ARTS-4410) at RPI in Summer 2019

In this project, I wanted to use algorithmic composition to create classical

piano music by chopping up existing pieces by famous composers. I did this with

the help of the [piano-midi.de](http://www.piano-midi.de) dataset, a collection

of hundreds of classical compositions by composers such as Mozart, Bach,

Beethoven, and more, in MIDI format. I fetched all of these MIDI files then

created a program that parses a user-defined subset of this data using

[python-midi](https://github.com/vishnubob/python-midi) and successively chooses

random tracks to splice together chunks of 20-50 notes. To keep things flowing

organically, tracks are spliced together only at places where the pitches match

up.