def bias():
from matplotlib import pyplot as plot
synth = WaveSynth(samplerate=1000)
waves = [synth.sine(2, 4, 0.02, bias=0.1),
synth.triangle(2, 4, 0.02, bias=0.2),
synth.pulse(2, 4, 0.02, bias=0.3, pulsewidth=0.45),
synth.harmonics(2, 4, [(n, 1 / n) for n in range(1, 8)], 0.02, bias=0.4),
synth.sawtooth(2, 4, 0.02, bias=0.5),
synth.sawtooth_h(2, 4, 7, 0.02, bias=0.6),
synth.square(2, 4, 0.02, bias=0.7),
synth.square_h(2, 4, 7, 0.02, bias=0.8),
synth.white_noise(frequency=100, duration=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, mixing="sequential", queue_size=2) 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(frequency=440, duration=1.5).fadein(0.1).fadeout(0.1)
out.play_sample(sample)
out.wait_all_played()