Difference between revisions of "DeepHarmony"
From vjmedia
(→Tasks) |
(→Dependencies:) |
||
| Line 24: | Line 24: | ||
==Dependencies:== | ==Dependencies:== | ||
| − | * [http://jupyter.org Jupyter Notebook], an interactive programming environment and editor (necessary for using the ipynb files) | + | * [http://jupyter.org Jupyter Notebook], an interactive programming environment and editor (necessary for using the .ipynb files) |
| − | * Python 3.5, the | + | * Python 3.5, and the following libraries: |
| − | ** numpy and | + | ** numpy and matplotlib (they are packaged in [https://www.continuum.io/downloads Anaconda], and we recommend installing it that way) |
| − | * [https://keras.io Keras], a | + | ** [http://web.mit.edu/music21 music21], for processing music data |
| − | + | ** [https://pypi.python.org/pypi/tqdm tqdm], for nice progress bars | |
| − | We recommend | + | ** [https://keras.io 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= | =WPI Student contributors= | ||
Revision as of 23:59, 11 October 2016
- PICTURE HERE#
Contents
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