Evolutionary Hidden Markov models (HMM)

For population training, run:

python main.py -c config.cfg -m song.mid

For new midi file generation, run:

python generate_midi.py -b model.pickle -m song.mid -s new_song

Config file

• populationSize - size of population
• generationCount - number of generations
• crossoverFraction - witch fraction of population combine
• randomSeed - random seed
• learningRate - learning rate
• nHiddenStates - number of hidden states in HMM
• nObservableStates - total amount of observations
• useFullSequence - if true will use nObservableStates, else will use unique values in observed sequence

Mark Stamp. HMM