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 harmonics():
synth = WaveSynth()
freq = 1500
num_harmonics = 6
h_all = synth.harmonics(freq, 1, [(n, 1/n) for n in range(1, num_harmonics+1)])
even_harmonics = [(1, 1)] # always include fundamental tone harmonic
even_harmonics.extend([(n, 1/n) for n in range(2, num_harmonics*2, 2)])
h_even = synth.harmonics(freq, 1, even_harmonics)
h_odd = synth.harmonics(freq, 1, [(n, 1/n) for n in range(1, num_harmonics*2, 2)])
h_all.join(h_even).join(h_odd)
import matplotlib.pyplot as plot
plot.title("Spectrogram")
plot.ylabel("Freq")
plot.xlabel("Time")
plot.specgram(h_all.get_frame_array(), Fs=synth.samplerate, noverlap=90, cmap=plot.cm.gist_heat)
plot.show()
def harmonics():
synth = WaveSynth()
freq = 1500
num_harmonics = 6
h_all = synth.harmonics(freq, 1,
[(n, 1 / n) for n in range(1, num_harmonics + 1)])
even_harmonics = [(1, 1)] # always include fundamental tone harmonic
even_harmonics.extend([(n, 1 / n) for n in range(2, num_harmonics * 2, 2)])
h_even = synth.harmonics(freq, 1, even_harmonics)
h_odd = synth.harmonics(freq, 1, [(n, 1 / n)
for n in range(1, num_harmonics * 2, 2)])
h_all.join(h_even).join(h_odd)
import matplotlib.pyplot as plot
plot.title("Spectrogram")
plot.ylabel("Freq")
plot.xlabel("Time")
plot.specgram(h_all.get_frame_array(),
Fs=synth.samplerate,
noverlap=90,
cmap=plot.cm.gist_heat)
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 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)
