This program is part of my bachelor thesis which can be found on arXiv. It's a machine learning algorithm that generates monophonic melodies similar to those of a phrase annotated data-set. In- and output are midi files (i.e. machine readable music).
virtualenv venv
source venv/bin/activate
export LC_ALL=C
pip install -r requirements.txt
On Ubuntu based systems it can happen, that there are header files missing. Do:
sudo apt-get install liblapack-dev libblas-dev
It can also happen, that you need to install a fortran compiler. Do:
sudo install gfortran
After fixing these things re-run pip install -r requirements.txt each time.
Download the MTC-FS data set
and unzip it into the folder MTC-FS-1.0
Then run the preporcessing
mkdir -p MTC-FS-1.0/good_midi # create folder to put pre-processed midi files in
source venv/bin/activate # activate virtualenv
python preprocess.py # run preprocessing
deactivate # deactivate virtualenv
Start the virtual environment with
source venv/bin/activate
To general start the program go to this directory and run
python main.py
More information: python2 main.py --help
To see how the clustering is working have a look at main() in contour.py