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Bluegrass Mandolin Picker

This is a clone of Classic-Piano-Composer, https://github.com/Skuldur/Classical-Piano-Composer and instead of piano music, I used bluegrass mandolin songs from Mandolin Cafe TablEdit Library (converted to midi), https://www.mandolincafe.com/cgi-bin/tabledit/search?name=Bluegrass for training.

I converted the TablEdit files of the songs into midi files. I trained the model on a Linux computer running Ubuntu 18.04 with 32GB RAM and a GeForce GTX 1070 Ti graphics card. Took approximately 10 hours to train the model and 30secs to generated 2 minutes of random music.

This project allows you to train a neural network to generate midi music files that make use of a single instrument

Requirements

  • Python 3.x
  • Installing the following packages using pip:
    • Music21
    • Keras
    • Tensorflow
    • h5py

Training

To train the network you run lstm.py.

E.g.

python lstm.py

The network will use every midi file in ./midi_songs to train the network. The midi files should only contain a single instrument to get the most out of the training.

NOTE: You can stop the process at any point in time and the weights from the latest completed epoch will be available for text generation purposes.

Generating music

Once you have trained the network you can generate text using predict.py

E.g.

python predict.py

You can run the prediction file right away using the weights.hdf5 file

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