Music Trainer

Midterm Assignment for Math In Music course in 2023 Autumn.

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What is this

The target is to create short music piece by machine with genetic algorithm. Meanwhile, we provide an easy API midoWrapper for mido. See the docstrings for more information.

For more detailed information, you can find our report in report/report.md or report/report.pdf.

Preparation

Make sure you have installed python3 and pip. All used third parties are saved in the config text. You can use

git clone https://github.com/LeoDreamer2004/PKU-MathInMusic-2023.git

to copy the repository to your folder, and then execute in the command line within this folder:

pip install -r requirements.txt

How to use

We apply one demo to parse the midi and the other to train for music in genetic algorithm. Visit all the results in ./midi folder.

python ./wrapperTest.py
python ./geneticAlgorithm.py

• wrapperTest.py will try to parse the test.mid and print the result. Meanwhile, it is supposed to generate a new midi file random.mid with two retrograde tracks.
• geneticAlgorithm.py will try to generate a midi file result.mid with genetic algorithm.

If you have passed the midterm, you can try to run the main.py, which support a GUI for you to play with.

The GUI is based on pyqt5 and pyqt_fluent. Run in terminal:

python ./main.py

If you find an error message box, you probably need to install some third party modules. See the build section above. Enjoy it!

License

MIT