def playback5(self, file_path=icq_uh_oh):
print('pb5')
count = self.count
fade = pyo.Fader(fadein=.1, fadeout=0.1, dur=3).play()
select = random.random()
snd = pyo.SndTable(file_path)
env = pyo.HannTable()
pos = pyo.Phasor(snd.getRate() * .25, random.random(), snd.getSize())
dur = pyo.Noise(.05, .1)
g = pyo.Granulator(
snd,
env, [self.granulated_pitch, self.granulated_pitch + .001],
pos,
dur,
24,
mul=fade)
panner = pyo.Pan(g,
outs=2,
pan=random.random(),
spread=random.random()).out()
self.granulated_pitch -= .05
if self.granulated_pitch < .049:
self.granulated_pitch = .05
time.sleep(fade.dur + .05)
g.stop()
def playback3(self, file_path=imsend_sound_path):
snd = pyo.SndTable(file_path)
env = pyo.HannTable()
pos = pyo.Phasor(snd.getRate() * .25, 0, snd.getSize())
dur = pyo.Noise(.001, .1)
g = pyo.Granulator(snd, env, [1, 1.001], pos, dur, 24, mul=self.env)
panner = pyo.Pan(g,
outs=2,
pan=random.random(),
spread=random.random()).out()
time.sleep(self.env + 0.05)
g.stop()
def SpecToGranulator(X_mu_np, idx):
Nfft = 4096
S = X_mu_np[idx, :]
S = np.append(S[np.newaxis].T,
np.zeros((Nfft / 2 - S.shape[0] + 1, 1)),
axis=0)
x = np.fft.irfft(S, n=Nfft)
s = pyo.Server(sr=44100, duplex=0)
s.boot()
s.start()
tab = pyo.DataTable(size=1024, init=x.tolist())
tab.view()
env = pyo.HannTable()
pos = pyo.Phasor(1024 / 44100, 0, 1024)
dur = pyo.Noise(.001, .1)
g = pyo.Granulator(tab, env, 1, pos, dur, 24, mul=1).out()
s.gui(locals(), exit=True)
def __init__(self, chain, extractor):
self.chain = chain
self.extractor = extractor
self.table = pyo.NewTable(self.extractor.table.length)
self.window = pyo.HannTable(self.table.size)
self.samples = np.asarray(self.table.getBuffer())
self.pitch = pyo.Sig(0)
self.vol = pyo.Sig(0)
self.env = pyo.Adsr()
self.osc = pyo.Granule(self.table, self.window, dens=100)
self.osc.setSync(False)
self.sin = pyo.Blit(self.pitch, mul=self.vol)
self.vocoder = pyo.Vocoder(self.sin, self.osc, self.pitch)
self.compressor = pyo.Compress(self.vocoder)
def out(self, file_path=imsend_sound_path):
if self.choice <= 0.33:
self.section_one = Section_One(self.count)
self.section_one.out()
elif self.choice > .33 and self.choice <= .67:
self.section_two = Section_Two(self.message, self.count)
self.section_two.out()
else:
snd = pyo.SndTable(file_path)
env = pyo.HannTable()
pos = pyo.Phasor(snd.getRate() * .25, 0, snd.getSize())
dur = pyo.Noise(.001, .1)
g = pyo.Granulator(snd, env, [1, 1.001], pos, dur, 24, mul=1)
panner = pyo.Pan(g,
outs=2,
pan=random.random(),
spread=random.random()).out()
time.sleep(2)
g.stop()