DeepHarmony

1. PICTURE HERE#

Summary

Deep Harmony is a machine learning project for creating harmonies based on a given melody.

Currently, Deep Harmony is learning to mimic the behavior of Bach Chorales created by David Cope.

Tasks

Integrating Deep Harmony into a Max Patch

Deep Harmony could be used to create real-time music in Max/MSP. Other people have already created ways to run Python code in Max/MSP pyext (not actively maintained) Embedding Jython in Max (probably not what we want)

Recommended skills:

• Basic Python programming
• Familiarity with Max/MSP
• Patience for figuring out installation/configuration issues

Getting Deep Harmony set up on your computer

All project files and resources are located in this git repository: https://github.com/samkhal/deepharmony

It can be downloaded as a .zip file or cloned as a repository.

Dependencies:

• Jupyter Notebook, an interactive programming environment and editor (necessary for using the .ipynb files)
• Python 3.5, and the following libraries:
  • numpy and matplotlib (they are packaged in Anaconda, and we recommend installing it that way)
  • music21, for processing music data
  • tqdm, for nice progress bars
  • Keras, a deep learning library. We recommend installing it with the Theano backend, but the code should work with the TensorFlow backend as well.
• musescore 2+, for allowing music21 to render music as pictures

WPI Student contributors

2016

Sam Khalandovsky

Ezra Davis