def __call__(self):
task.__call__(self)
isonset, val = self.opick.do(self.myvec)
if aubio_silence_detection(self.myvec(), self.params.silence):
isonset = 0
if self.params.storefunc:
self.ofunc.append(val)
if self.params.localmin:
if val > 0:
self.ovalist.append(val)
else:
self.ovalist.append(0)
self.ovalist.pop(0)
if isonset > 0.0:
if self.params.localmin:
# find local minima before peak
i = len(self.ovalist) - 1
while self.ovalist[i - 1] < self.ovalist[i] and i > 0:
i -= 1
now = self.frameread + 1 - i
else:
now = self.frameread
# take back delay
if self.params.delay != 0.0:
now -= self.params.delay
if now < 0:
now = 0
if self.params.mintol:
# prune doubled
if (now - self.last) > self.params.mintol:
self.last = now
return now, val
else:
return now, val
def __call__(self): task.__call__(self) isonset,val = self.opick.do(self.myvec) if (aubio_silence_detection(self.myvec(),self.params.silence)): isonset=0 if self.params.storefunc: self.ofunc.append(val) if self.params.localmin: if val > 0: self.ovalist.append(val) else: self.ovalist.append(0) self.ovalist.pop(0) if (isonset == 1): if self.params.localmin: # find local minima before peak i=len(self.ovalist)-1 while self.ovalist[i-1] < self.ovalist[i] and i > 0: i -= 1 now = (self.frameread+1-i) else: now = self.frameread # take back delay if self.params.delay != 0.: now -= self.params.delay if now < 0 : now = 0 if self.params.mintol: # prune doubled if (now - self.last) > self.params.mintol: self.last = now return now, val else: return now, val
def __call__(self):
task.__call__(self)
if (aubio_silence_detection(self.myvec(), self.params.silence) == 1):
if self.wassilence == 1: self.issilence = 1
else: self.issilence = 2
self.wassilence = 1
else:
if self.wassilence <= 0: self.issilence = 0
else: self.issilence = -1
self.wassilence = 0
if self.issilence == -1:
return max(self.frameread - self.params.delay, 0.), -1
elif self.issilence == 2:
return max(self.frameread + self.params.delay, 0.), 2
def __call__(self): task.__call__(self) if (aubio_silence_detection(self.myvec(),self.params.silence)==1): if self.wassilence == 1: self.issilence = 1 else: self.issilence = 2 self.wassilence = 1 else: if self.wassilence <= 0: self.issilence = 0 else: self.issilence = -1 self.wassilence = 0 if self.issilence == -1: return max(self.frameread-self.params.delay,0.), -1 elif self.issilence == 2: return max(self.frameread+self.params.delay,0.), 2
def __call__(self):
from aubio.median import short_find
task.__call__(self)
if (aubio_silence_detection(self.myvec(), self.params.silence) == 1):
freq = -1.
else:
freq = self.pitchdet(self.myvec)
minpitch = self.params.pitchmin
maxpitch = self.params.pitchmax
if maxpitch and freq > maxpitch:
freq = -1.
elif minpitch and freq < minpitch:
freq = -1.
if self.params.pitchsmooth:
self.shortlist.append(freq)
self.shortlist.pop(0)
smoothfreq = short_find(self.shortlist, len(self.shortlist) / 2)
return smoothfreq
else:
return freq
def __call__(self): from aubio.median import short_find task.__call__(self) if (aubio_silence_detection(self.myvec(),self.params.silence)==1): freq = -1. else: freq = self.pitchdet(self.myvec) minpitch = self.params.pitchmin maxpitch = self.params.pitchmax if maxpitch and freq > maxpitch : freq = -1. elif minpitch and freq < minpitch : freq = -1. if self.params.pitchsmooth: self.shortlist.append(freq) self.shortlist.pop(0) smoothfreq = short_find(self.shortlist, len(self.shortlist)/2) return smoothfreq else: return freq
