def _pickUpAccent(self, melody, notePerBar_n=16):
output = np.zeros(0)
oneBar = np.zeros(len(melody))
for j in range(int(len(melody) / notePerBar_n)):
for i in range(notePerBar_n):
if melody[notePerBar_n * j + i] > -1:
oneBar[notePerBar_n * j +
i] = oneBar[notePerBar_n * j + i] + 1
output = np.r_[output, func.softmax(oneBar)]
return output
def _pickUpSectionAccent(self,
melody,
notePerBar_n=16,
barsPerOneSection=4):
output = np.zeros(0)
oneBar = np.zeros(notePerBar_n)
# minimum beat length sixteen-beat and then 16
for j in range(int(len(melody) / notePerBar_n)):
for i in range(notePerBar_n):
if melody[j * notePerBar_n + i] > -1:
oneBar[i] = oneBar[i] + 1
if j % barsPerOneSection == barsPerOneSection - 1:
for k in range(barsPerOneSection):
output = np.r_[output, func.softmax(
oneBar)] #ランダム性はコントロールできる。*3でいけないのか。
oneBar = np.zeros(notePerBar_n)
return output
def _accentRandom(self,
score,
barsPerOneSection=4,
temperature=0.0005,
n=2):
merge = self._pickUpAccent(
score, self._notePerBar_n) * self._pickUpSectionAccent(
score, self._notePerBar_n, barsPerOneSection)
output = np.zeros(0)
oneBar = np.full(self._notePerBar_n, -1)
for j in range(int(len(merge) / self._notePerBar_n)):
for i in range(self._notePerBar_n):
oneBar[i] = merge[j * self._notePerBar_n + i]
output = np.r_[output, func.softmax(oneBar,
t=temperature)] #0.0005がちょうどよい
oneBar = np.zeros(self._notePerBar_n)
return self._tranBinary(output, n) #変数にしなくていいのか