In [1]:

    

%matplotlib inline
import pylab 
pylab.rcParams['figure.figsize'] = (10, 8)

import os
import json
import matplotlib.pyplot as plt

from alignednotemodel.alignednotemodel import AlignedNoteModel


    

In [2]:

    

folder = 'ussak--sazsemaisi--aksaksemai----dede_salih_efendi'
pitch_file = os.path.join(folder, 'pitch_corrected.json')
note_file = os.path.join(folder, 'aligned_notes.json')
tonic_file = os.path.join(folder, 'tonic.json')

model_save_file = os.path.join(folder, 'note_models.json')


    

In [3]:

    

pitch = json.load(open(pitch_file, 'r'))
aligned_notes = json.load(open(note_file, 'r'))['notes']
tonic_symbol = json.load(open(tonic_file, 'r'))['scoreInformed']['Symbol']


    

In [4]:

    

alignedNoteModel = AlignedNoteModel(kernel_width=7.5, step_size = 7.5)

note_models, pitch_distibution, new_tonic = alignedNoteModel.get_models(
    pitch, aligned_notes, tonic_symbol)
alignedNoteModel.to_json(note_models, model_save_file)


    

In [5]:

    

fig, (ax1, ax2) = alignedNoteModel.plot(note_models, pitch_distibution, aligned_notes, pitch)
plt.show()