forked from pranavashok/musicpsa
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generate.py
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generate.py
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from hmmpy.HMM.calculator import HMM
from music21 import *
from pypsa.psa.LearnPSA import LearnPSA
from operator import itemgetter
import random
from collections import Counter
import numpy
import sys
def getNotes(s, queue):
str = queue.pop(0)
for ele in str.elements:
if type(ele).__name__ == 'Score' or type(ele).__name__ == 'Part' or type(ele).__name__ == 'Voice' or type(ele).__name__ == 'Measure':
queue.append(ele)
for ele in queue:
if ele.hasElementOfClass('Note'):
sample = []
for e in ele:
if type(e).__name__ == 'Note':
sample.append(e.nameWithOctave)
if len(sample) > 10:
s.append(sample)
else:
getNotes(s, queue)
def parseNotes(midifile):
s = []
queue = [midifile]
getNotes(s, queue)
return s
def getDurations(s, queue):
str = queue.pop(0)
for ele in str.elements:
if type(ele).__name__ == 'Score' or type(ele).__name__ == 'Part' or type(ele).__name__ == 'Voice' or type(ele).__name__ == 'Measure':
queue.append(ele)
for ele in queue:
if ele.hasElementOfClass('Note'):
sample = []
for e in ele:
if type(e).__name__ == 'Note':
sample.append(e.duration.quarterLength.__str__())
if len(sample) > 10:
s.append(sample)
else:
getNotes(s, queue)
def parseDurations(midifile):
s = []
queue = [midifile]
getDurations(s, queue)
return s
def getNotesWithDurations(s, queue):
str = queue.pop(0)
for ele in str.elements:
if type(ele).__name__ == 'Score' or type(ele).__name__ == 'Part' or type(ele).__name__ == 'Voice' or type(ele).__name__ == 'Measure':
queue.append(ele)
for ele in queue:
if ele.hasElementOfClass('Note'):
obs = []
for e in ele:
if type(e).__name__ == 'Note':
obs.append((e.nameWithOctave, e.duration.quarterLength.__str__()))
if len(obs) > 10:
s.append(obs)
else:
getNotesWithDurations(s, queue)
def parseNotesWithDurations(midifile):
observationSeqs = []
queue = [midifile]
getNotesWithDurations(observationSeqs, queue)
return observationSeqs
str = []
for i in range(1 , len(sys.argv)-1):
str.append(converter.parse(sys.argv[i]))
outname = sys.argv[len(sys.argv)-1]
sampleNoteSeqs = []
for s in str:
sampleNoteSeqs.extend(parseNotes(s))
uniqueNotes = []
for l in sampleNoteSeqs:
uniqueNotes.extend(list(set(l)))
uniqueNotes = list(set(uniqueNotes))
N = LearnPSA(0.2, 10, 3, uniqueNotes)
for seq in sampleNoteSeqs:
N.add_sample(" ".join(seq))
N.generate_pst()
states, transition, nextstate = N.generate_psa()
notes = []
for i in range(0,10):
notes.append(N.generate_run(states, transition, nextstate, 1500).split(" "))
sampleDurationSeqs = []
for s in str:
sampleDurationSeqs.extend(parseDurations(s))
uniqueDurations = []
for l in sampleDurationSeqs:
uniqueDurations.extend(list(set(l)))
uniqueDurations = list(set(uniqueDurations))
D = LearnPSA(0.2, 10, 3, uniqueDurations)
for seq in sampleDurationSeqs:
D.add_sample(" ".join(seq))
D.generate_pst()
states, transition, nextstate = D.generate_psa()
durations = []
for i in range(0,10):
durations.append(D.generate_run(states, transition, nextstate, 1500).split(" "))
for k in xrange(0,10):
a = stream.Part()
full = stream.Stream()
#ins = instrument.Violin()
#a.append(ins)
for i in xrange(0, len(notes[k])):
d = duration.Duration(float(durations[k][i]))
n = note.Note(notes[k][i])
n.volume.velocity = 127
n.duration = d
a.append(n)
full.append(a)
mf = midi.translate.streamToMidiFile(full)
file = outname+k.__str__()+'.mid'
mf.open(file, 'wb')
mf.write()
mf.close()