def fm():
synth = WaveSynth(samplerate=8000)
from matplotlib import pyplot as plot
freq = 2000
lfo1 = Sine(1, amplitude=0.4, samplerate=synth.samplerate)
s1 = synth.sine(freq, duration=3, fm_lfo=lfo1)
plot.title("Spectrogram")
plot.ylabel("Freq")
plot.xlabel("Time")
plot.specgram(s1.get_frame_array(),
Fs=synth.samplerate,
noverlap=90,
cmap=plot.cm.gist_heat)
plot.show()
with Output(nchannels=1, samplerate=22050) as out:
synth = WaveSynth(samplerate=22050)
freq = 440
lfo1 = Linear(5, samplerate=synth.samplerate)
lfo1 = EnvelopeFilter(lfo1, 1, 0.5, 0.5, 0.5, 1)
s1 = synth.sine(freq, duration=3, fm_lfo=lfo1)
s_all = s1.copy()
out.play_sample(s1)
lfo1 = Sine(1, amplitude=0.2, samplerate=synth.samplerate)
s1 = synth.sine(freq, duration=2, fm_lfo=lfo1)
s_all.join(s1)
out.play_sample(s1)
lfo1 = Sine(freq / 17, amplitude=0.5, samplerate=synth.samplerate)
s1 = synth.sine(freq, duration=2, fm_lfo=lfo1)
s_all.join(s1)
out.play_sample(s1)
lfo1 = Sine(freq / 6, amplitude=0.5, samplerate=synth.samplerate)
s1 = synth.sine(freq, duration=2, fm_lfo=lfo1)
s_all.join(s1)
out.play_sample(s1)
lfo1 = Sine(1, amplitude=0.4, samplerate=synth.samplerate)
s1 = synth.triangle(freq, duration=2, fm_lfo=lfo1)
s_all.join(s1)
out.play_sample(s1)
freq = 440 * 2
lfo1 = Sine(freq / 80, amplitude=0.4, samplerate=synth.samplerate)
s1 = synth.triangle(freq, duration=2, fm_lfo=lfo1)
s_all.join(s1)
out.play_sample(s1)
def modulate_amp():
from matplotlib import pyplot as plot
synth = WaveSynth()
freq = 220
s1 = synth.triangle(freq, duration=2)
m = synth.sine(2, duration=2, amplitude=0.4, bias=0.5)
s1.modulate_amp(m)
plot.title("Amplitude modulation by another waveform")
plot.plot(s1.get_frame_array())
plot.show()
with Output(nchannels=1) as out:
out.play_sample(s1)
s1 = synth.triangle(freq, duration=2)
m = Sine(3, amplitude=0.4, bias=0.5)
s1.modulate_amp(m)
plot.title("Amplitude modulation by an oscillator")
plot.plot(s1.get_frame_array())
plot.show()
with Output(nchannels=1) as out:
out.play_sample(s1)
def envelope():
from matplotlib import pyplot as plot
synth = WaveSynth()
freq = 440
s = synth.triangle(freq, duration=1)
s.envelope(0.05, 0.1, 0.6, 0.4)
plot.title("ADSR envelope")
plot.plot(s.get_frame_array())
plot.show()
with Output(nchannels=1) as out:
out.play_sample(s)
def envelope():
from matplotlib import pyplot as plot
synth = WaveSynth()
freq = 440
s = synth.triangle(freq, duration=1)
s.envelope(0.05, 0.1, 0.6, 0.4)
plot.title("ADSR envelope")
plot.plot(s.get_frame_array())
plot.show()
with Output(nchannels=1) as out:
out.play_sample(s)
def modulate_amp():
from matplotlib import pyplot as plot
synth = WaveSynth()
freq = 220
s1 = synth.triangle(freq, duration=2)
m = synth.sine(2, duration=2, amplitude=0.4, bias=0.5)
s1.modulate_amp(m)
plot.title("Amplitude modulation by another waveform")
plot.plot(s1.get_frame_array())
plot.show()
with Output(nchannels=1) as out:
out.play_sample(s1)
s1 = synth.triangle(freq, duration=2)
m = Sine(3, amplitude=0.4, bias=0.5)
s1.modulate_amp(m)
plot.title("Amplitude modulation by an oscillator")
plot.plot(s1.get_frame_array())
plot.show()
with Output(nchannels=1) as out:
out.play_sample(s1)
def fm():
synth = WaveSynth(samplerate=8000)
from matplotlib import pyplot as plot
freq = 2000
lfo1 = Sine(1, amplitude=0.4, samplerate=synth.samplerate)
s1 = synth.sine(freq, duration=3, fm_lfo=lfo1)
plot.title("Spectrogram")
plot.ylabel("Freq")
plot.xlabel("Time")
plot.specgram(s1.get_frame_array(), Fs=synth.samplerate, noverlap=90, cmap=plot.cm.gist_heat)
plot.show()
with Output(nchannels=1, samplerate=22050) as out:
synth = WaveSynth(samplerate=22050)
freq = 440
lfo1 = Linear(5, samplerate=synth.samplerate)
lfo1 = EnvelopeFilter(lfo1, 1, 0.5, 0.5, 0.5, 1)
s1 = synth.sine(freq, duration=3, fm_lfo=lfo1)
s_all = s1.copy()
out.play_sample(s1)
lfo1 = Sine(1, amplitude=0.2, samplerate=synth.samplerate)
s1 = synth.sine(freq, duration=2, fm_lfo=lfo1)
s_all.join(s1)
out.play_sample(s1)
lfo1 = Sine(freq/17, amplitude=0.5, samplerate=synth.samplerate)
s1 = synth.sine(freq, duration=2, fm_lfo=lfo1)
s_all.join(s1)
out.play_sample(s1)
lfo1 = Sine(freq/6, amplitude=0.5, samplerate=synth.samplerate)
s1 = synth.sine(freq, duration=2, fm_lfo=lfo1)
s_all.join(s1)
out.play_sample(s1)
lfo1 = Sine(1, amplitude=0.4, samplerate=synth.samplerate)
s1 = synth.triangle(freq, duration=2, fm_lfo=lfo1)
s_all.join(s1)
out.play_sample(s1)
freq = 440*2
lfo1 = Sine(freq/80, amplitude=0.4, samplerate=synth.samplerate)
s1 = synth.triangle(freq, duration=2, fm_lfo=lfo1)
s_all.join(s1)
out.play_sample(s1)
def stereo_pan():
synth = WaveSynth()
# panning a stereo source:
wave = Sample("samples/SOS 020.wav").clip(6, 12).normalize().fadein(0.5).fadeout(0.5).lock()
osc = Sine(0.4)
panning = wave.copy().pan(lfo=osc).fadeout(0.2)
with Output.for_sample(panning) as out:
out.play_sample(panning)
# panning a generated mono source:
fm = Sine(0.5, 0.1999, bias=0.2)
wave = synth.triangle(220, 5, fm_lfo=fm).lock()
osc = Sine(0.4)
panning = wave.copy().pan(lfo=osc).fadeout(0.2)
with Output.for_sample(panning) as out:
out.play_sample(panning)
def stereo_pan():
synth = WaveSynth()
# panning a stereo source:
wave = Sample("samples/SOS 020.wav").clip(
6, 12).normalize().fadein(0.5).fadeout(0.5).lock()
osc = Sine(0.4)
panning = wave.copy().pan(lfo=osc).fadeout(0.2)
with Output.for_sample(panning) as out:
out.play_sample(panning)
# panning a generated mono source:
fm = Sine(0.5, 0.1999, bias=0.2)
wave = synth.triangle(220, 5, fm_lfo=fm).lock()
osc = Sine(0.4)
panning = wave.copy().pan(lfo=osc).fadeout(0.2)
with Output.for_sample(panning) as out:
out.play_sample(panning)
def bias():
from matplotlib import pyplot as plot
synth = WaveSynth(samplerate=1000)
waves = []
waves.append(synth.sine(2, 4, 0.02, bias=0.1))
waves.append(synth.triangle(2, 4, 0.02, bias=0.2))
waves.append(synth.pulse(2, 4, 0.02, bias=0.3, pulsewidth=0.45))
waves.append(synth.harmonics(2, 4, [(n, 1/n) for n in range(1, 8)], 0.02, bias=0.4))
waves.append(synth.sawtooth(2, 4, 0.02, bias=0.5))
waves.append(synth.sawtooth_h(2, 4, 7, 0.02, bias=0.6))
waves.append(synth.square(2, 4, 0.02, bias=0.7))
waves.append(synth.square_h(2, 4, 7, 0.02, bias=0.8))
waves.append(synth.white_noise(4, amplitude=0.02, bias=0.9))
for wave in waves:
plot.plot(wave.get_frame_array())
plot.title("All waveforms biased to levels above zero")
plot.show()
def demo_plot():
from matplotlib import pyplot as plot
plot.title("Various waveforms")
synth = WaveSynth(samplerate=1000)
freq = 4
s = synth.sawtooth(freq, duration=1)
plot.plot(s.get_frame_array())
s = synth.sine(freq, duration=1)
plot.plot(s.get_frame_array())
s = synth.triangle(freq, duration=1)
plot.plot(s.get_frame_array())
s = synth.square(freq, duration=1)
plot.plot(s.get_frame_array())
s = synth.square_h(freq, duration=1)
plot.plot(s.get_frame_array())
s = synth.pulse(freq, duration=1, pulsewidth=0.2)
plot.plot(s.get_frame_array())
plot.show()
def demo_plot():
from matplotlib import pyplot as plot
plot.title("Various waveforms")
synth = WaveSynth(samplerate=1000)
freq = 4
s = synth.sawtooth(freq, duration=1)
plot.plot(s.get_frame_array())
s = synth.sine(freq, duration=1)
plot.plot(s.get_frame_array())
s = synth.triangle(freq, duration=1)
plot.plot(s.get_frame_array())
s = synth.square(freq, duration=1)
plot.plot(s.get_frame_array())
s = synth.square_h(freq, duration=1)
plot.plot(s.get_frame_array())
s = synth.pulse(freq, duration=1, pulsewidth=0.2)
plot.plot(s.get_frame_array())
plot.show()
def bias():
from matplotlib import pyplot as plot
synth = WaveSynth(samplerate=1000)
waves = []
waves.append(synth.sine(2, 4, 0.02, bias=0.1))
waves.append(synth.triangle(2, 4, 0.02, bias=0.2))
waves.append(synth.pulse(2, 4, 0.02, bias=0.3, pulsewidth=0.45))
waves.append(
synth.harmonics(2,
4, [(n, 1 / n) for n in range(1, 8)],
0.02,
bias=0.4))
waves.append(synth.sawtooth(2, 4, 0.02, bias=0.5))
waves.append(synth.sawtooth_h(2, 4, 7, 0.02, bias=0.6))
waves.append(synth.square(2, 4, 0.02, bias=0.7))
waves.append(synth.square_h(2, 4, 7, 0.02, bias=0.8))
waves.append(synth.white_noise(4, amplitude=0.02, bias=0.9))
for wave in waves:
plot.plot(wave.get_frame_array())
plot.title("All waveforms biased to levels above zero")
plot.show()