def __init__(self):
SparseHMM.__init__(self)
self.m_minFreq = 61.735
self.m_nBPS = 5
self.m_nPitch = 0
self.m_selfTrans = 0.99
self.m_yinTrust = 0.5
self.m_transitionWidth = 5*(np.uint64(self.m_nBPS/2)) + 1 # 2 semi-tones of frame jump
self.m_nPitch = 69 * self.m_nBPS # 69 semi-tone, each semi-tone divided to 5, step is 20 cents
self.m_freqs = np.zeros(2*self.m_nPitch, dtype=np.float64)
for iPitch in range(self.m_nPitch):
self.m_freqs[iPitch] = self.m_minFreq * pow(2, iPitch * 1.0 / (12 * self.m_nBPS)) # 0 to m_nPitch-1 positive pitch
self.m_freqs[iPitch+self.m_nPitch] = -self.m_freqs[iPitch] # m_nPitch to 2*m_nPitch-1 negative pitch
self.build()
def __init__(self, STEPS_PER_SEMITONE, NUMBER_SEMITONES,
with_bar_dependent_probs, hopTime, usul_type):
self.with_bar_dependent_probs = with_bar_dependent_probs
self.par = MonoNoteParameters(STEPS_PER_SEMITONE, NUMBER_SEMITONES,
with_bar_dependent_probs, hopTime,
usul_type)
if with_bar_dependent_probs: # list of trans matrices
num_beats = self.par.barPositionDistance_Probs.shape[
0] # num beats in a bar for rhythmic pattern
dist_from_beat = self.par.barPositionDistance_Probs.shape[
1] + 1 # distance from beat (in number of frames) last is default (limit distance) transition
SparseHMM.__init__(self, num_beats, dist_from_beat) #
else: # only the trans matrix of model of Mauch
SparseHMM.__init__(self, 1, 1)
self.pitchDistr = []
def __init__(self):
SparseHMM.__init__(self)
self.par = MonoNoteParameters()
self.pitchDistr = []
self.build()
def __init__(self):
SparseHMM.__init__(self)
self.par = MonoNoteParameters()
self.pitchDistr = []
self.build()
