DawidAntczak/musiclivegenerator

musiclivegenerator

Tools created while working on the master's thesis: Automatic music generation methods for video games

The repository contains the model, second and third (last) step of data preparation, scripts to run WebSocket server for live generation and script to generate some sample MIDI files.

The trained model is included in save directory as everything-game-30s-transposed.sess.

Generation

• To generate MIDI file samples with various conditioning:

  Run generate.py 

• To start WebSocket server for live generation:

  Run generate_live.py 

Training

• First data preparation step

• Second data preparation step:

  Run data_prep.py 

• Preprocessing:

  Run preprocess.py 

• Training

  Run train.py
  

Requirements

Everything was run using Python 3.8 on Windows in Anaconda environment. The environment can be imported using anaconda.yaml as described in docs.

Acknowledgement

Code based on implementation of EmotionBox, the paper is available on https://arxiv.org/abs/2112.08561.

Original license file included