Skip to content
public
Go to file
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

README.md

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).

Setup

Use virtualenv

virtualenv venv
source venv/bin/activate
export LC_ALL=C
pip install -r requirements.txt

Troubleshooting

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.

Trainings Data

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

Run the program

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

Other things

To see how the clustering is working have a look at main() in contour.py

About

Using higher Order Markov Modells and Clustering to compose melodies similar to a training data set

Topics

Resources

License

Releases

No releases published

Packages

No packages published
You can’t perform that action at this time.