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 makebell(freq):
synth = WaveSynth()
duration = 2
divider = 2.2823535
fm = Triangle(freq / divider, amplitude=0.5)
s = synth.sine(freq, duration, fm_lfo=fm)
# apply ADSR envelope that resembles bell amp curve, see http://www.hibberts.co.uk/make.htm
s.envelope(0, duration * 0.25, .5, duration * 0.75)
s.echo(2, 5, 0.06, 0.6)
return s.make_32bit(False)
def makebell(freq):
synth = WaveSynth()
duration = 2
divider = 2.2823535
fm = Triangle(freq/divider, amplitude=0.5)
s = synth.sine(freq, duration, fm_lfo=fm)
# apply ADSR envelope that resembles bell amp curve, see http://www.hibberts.co.uk/make.htm
s.envelope(0, duration*0.25, .5, duration*0.75)
s.echo(2, 5, 0.06, 0.6)
return s.make_32bit(False)
def chords():
synth = WaveSynth()
with Output(nchannels=1) as out:
for rootnote in octave_notes:
chord_keys = major_chord_keys(rootnote, 4)
print("chord", rootnote, ["{0} {1}".format(note, octave) for note, octave in chord_keys])
freqs = [notes[octave][key] for key, octave in chord_keys]
for i in range(1, len(freqs)):
assert freqs[i] > freqs[i-1]
samples = [synth.sine(freq, 1.5, amplitude=0.333) for freq in freqs]
s = samples[0].mix(samples[1]).mix(samples[2]).fadein(0.1).fadeout(0.1)
out.play_sample(s)
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 chords():
synth = WaveSynth()
with Output(nchannels=1) as out:
for rootnote in octave_notes:
chord_keys = major_chord_keys(rootnote, 4)
print("chord", rootnote, [
"{0} {1}".format(note, octave) for note, octave in chord_keys
])
freqs = [notes[octave][key] for key, octave in chord_keys]
for i in range(1, len(freqs)):
assert freqs[i] > freqs[i - 1]
samples = [
synth.sine(freq, 1.5, amplitude=0.333) for freq in freqs
]
s = samples[0].mix(samples[1]).mix(
samples[2]).fadein(0.1).fadeout(0.1)
out.play_sample(s)
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 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 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 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 a440():
synth = WaveSynth(samplerate=44100, samplewidth=4)
a440 = synth.sine(440, duration=3)
with Output.for_sample(a440) as out:
out.play_sample(a440)
def a440():
synth = WaveSynth(samplerate=44100, samplewidth=4)
a440 = synth.sine(440, duration=3)
with Output.for_sample(a440) as out:
out.play_sample(a440)
