def pwm():
from matplotlib import pyplot as plot
synth = WaveSynth(samplerate=1000)
pwm_lfo = Sine(0.05, amplitude=0.49, bias=0.5, samplerate=synth.samplerate)
s1 = synth.pulse(4, amplitude=0.6, duration=20, pwm_lfo=pwm_lfo)
plot.figure(figsize=(16, 4))
plot.title("Pulse width modulation")
plot.ylim([-35000, 35000])
plot.plot(s1.get_frame_array())
plot.show()
with Output(nchannels=1) as out:
synth = WaveSynth()
lfo2 = Sine(0.2, amplitude=0.48, bias=0.5)
s1 = synth.pulse(440/6, amplitude=0.5, duration=6, fm_lfo=None, pwm_lfo=lfo2)
out.play_sample(s1)
def demo_tones():
synth = WaveSynth()
with Output(nchannels=1) as out:
for wave in [
synth.square_h, synth.square, synth.sine, synth.triangle,
synth.sawtooth, synth.sawtooth_h
]:
print(wave.__name__)
for note, freq in list(notes[4].items())[6:]:
print(" {:f} hz".format(freq))
sample = wave(freq, duration=0.4).fadein(0.02).fadeout(0.1)
out.play_sample(sample)
print("pulse")
for note, freq in list(notes[4].items())[6:]:
print(" {:f} hz".format(freq))
sample = synth.pulse(freq, duration=0.4,
pulsewidth=0.1).fadein(0.02).fadeout(0.1)
out.play_sample(sample)
print("harmonics (only even)")
for note, freq in list(notes[3].items())[6:]:
print(" {:f} hz".format(freq))
harmonics = [(n, 1 / n) for n in range(1, 5 * 2, 2)]
sample = synth.harmonics(freq, 0.4,
harmonics).fadein(0.02).fadeout(0.1)
out.play_sample(sample)
print("noise")
sample = synth.white_noise(duration=1.5).fadein(0.1).fadeout(0.1)
out.play_sample(sample)
def echo_sample():
synth = WaveSynth(samplerate=22050)
lfo = Linear(1, -0.0001, min_value=-99999)
s = synth.pulse(220, .5, fm_lfo=lfo).fadeout(.2)
with Output(s.samplerate, s.samplewidth, s.nchannels) as out:
e = s.copy().echo(1, 4, 0.5, 0.4) # echo
out.play_sample(e)
e = s.copy().echo(1, 30, 0.15, 0.5) # simple "reverberation" (simulated using fast echos)
out.play_sample(e)
def pwm():
from matplotlib import pyplot as plot
synth = WaveSynth(samplerate=1000)
pwm_lfo = Sine(0.05, amplitude=0.49, bias=0.5, samplerate=synth.samplerate)
s1 = synth.pulse(4, amplitude=0.6, duration=20, pwm_lfo=pwm_lfo)
plot.figure(figsize=(16, 4))
plot.title("Pulse width modulation")
plot.ylim([-35000, 35000])
plot.plot(s1.get_frame_array())
plot.show()
with Output(nchannels=1) as out:
synth = WaveSynth()
lfo2 = Sine(0.2, amplitude=0.48, bias=0.5)
s1 = synth.pulse(440 / 6,
amplitude=0.5,
duration=6,
fm_lfo=None,
pwm_lfo=lfo2)
out.play_sample(s1)
def echo_sample():
synth = WaveSynth(samplerate=22050)
lfo = Linear(1, -0.0001, min_value=-99999)
s = synth.pulse(220, .5, fm_lfo=lfo).fadeout(.2)
with Output(s.samplerate, s.samplewidth, s.nchannels) as out:
e = s.copy().echo(1, 4, 0.5, 0.4) # echo
out.play_sample(e)
e = s.copy().echo(
1, 30, 0.15,
0.5) # simple "reverberation" (simulated using fast echos)
out.play_sample(e)
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()
def demo_tones():
synth = WaveSynth()
with Output(nchannels=1) as out:
for wave in [synth.square_h, synth.square, synth.sine, synth.triangle, synth.sawtooth, synth.sawtooth_h]:
print(wave.__name__)
for note, freq in list(notes[4].items())[6:]:
print(" {:f} hz".format(freq))
sample = wave(freq, duration=0.4).fadein(0.02).fadeout(0.1)
out.play_sample(sample)
print("pulse")
for note, freq in list(notes[4].items())[6:]:
print(" {:f} hz".format(freq))
sample = synth.pulse(freq, duration=0.4, pulsewidth=0.1).fadein(0.02).fadeout(0.1)
out.play_sample(sample)
print("harmonics (only even)")
for note, freq in list(notes[3].items())[6:]:
print(" {:f} hz".format(freq))
harmonics = [(n, 1/n) for n in range(1, 5*2, 2)]
sample = synth.harmonics(freq, 0.4, harmonics).fadein(0.02).fadeout(0.1)
out.play_sample(sample)
print("noise")
sample = synth.white_noise(duration=1.5).fadein(0.1).fadeout(0.1)
out.play_sample(sample)
