def echo_sample(): synth = WaveSynth(samplerate=44100) 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) out.wait_all_played()
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 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) out.wait_all_played()
def chords(): synth = WaveSynth() with Output(nchannels=1, mixing="sequential", queue_size=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) out.wait_all_played()
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 demo_song(): synth = WaveSynth() notes = {note: key_freq(49+i) for i, note in enumerate(['A', 'A#', 'B', 'C', 'C#', 'D', 'D#', 'E', 'F', 'F#', 'G', 'G#'])} tempo = 0.3 def synth_sample(freq, duration): harmonics = [(1, 1), (2, 1/2), (4, 1/4), (6, 1/6)] a = synth.harmonics(freq, duration, harmonics) return a.envelope(0.05, 0.2, 0.8, 0.5) silence = Sample.from_array([0]*int(synth.samplerate*tempo*2), synth.samplerate, numchannels=1) song = "A A B. A D. C#.. ; A A B. A E. D.. ; A A A. F#.. D C#.. B ; G G F#.. D E D ; ; "\ "A A B. A D C#.. ; A A B. A E D. ; A A A. F#.. D C#.. B ; G G F#.. D E D ; ; " with Output(synth.samplerate, synth.samplewidth, 1, mixing="sequential", queue_size=50) as out: for note in song.split(): if note == ";": print() out.play_sample(silence) continue print(note, end=" ", flush=True) if note.endswith(".."): sample = synth_sample(notes[note[:-2]], tempo*4) elif note.endswith("."): sample = synth_sample(notes[note[:-1]], tempo*2) else: sample = synth_sample(notes[note], tempo) out.play_sample(sample) print() out.wait_all_played()
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) out.wait_all_played() # 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) out.wait_all_played()
def lfo_envelope(): synth = WaveSynth(samplerate=100) lfo = Linear(1000, samplerate=synth.samplerate) lfo = EnvelopeFilter(lfo, 2, 1, 4, 0.3, 2, stop_at_end=True) from matplotlib import pyplot as plot plot.title("LFO Envelope") plot.plot(list(lfo)) 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) out.wait_all_played() 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) out.wait_all_played()
def echo_lfo(): synth = WaveSynth(22050) s = Sine(440, amplitude=25000, samplerate=synth.samplerate) s = EnvelopeFilter(s, .2, .2, 0, 0, 1.5, stop_at_end=True) s = EchoFilter(s, .15, 5, 0.3, 0.6) s = ClipFilter(s, -32000, 32000) frames = [int(v) for v in s] import matplotlib.pyplot as plot plot.plot(frames) plot.show() samp = Sample.from_array(frames, synth.samplerate, 1) with Output.for_sample(samp) as out: out.play_sample(samp) out.wait_all_played()
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()
def vibrato(): synth = WaveSynth() duration = 3 def make_sample(freq): fmfm = Linear(0, 0.002, max_value=99999) fm = Sine(0.05, amplitude=0.5, fm_lfo=fmfm) s1 = synth.sawtooth(freq, duration, amplitude=0.6, fm_lfo=fm) s1.envelope(0.01, 0.1, 0.6, 2) return s1 with Output(synth.samplerate, nchannels=1, mixing="sequential") as out: for f in [220, 330, 440]: sample = make_sample(f) out.play_sample(sample) out.wait_all_played()
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 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) # s1.write_wav("pwmtest.wav") out.wait_all_played()
def demo_song(profiling=False): synth = WaveSynth() notes = {note: key_freq(49+i) for i, note in enumerate(['A', 'A#', 'B', 'C', 'C#', 'D', 'D#', 'E', 'F', 'F#', 'G', 'G#'])} tempo = 0.3 def instrument(freq, duration): harmonics = [(1, 1), (2, 1/2), (4, 1/4), (6, 1/6)] a = synth.harmonics(freq, duration, harmonics) return a.envelope(0.05, 0.2, 0.8, 0.5) print("Synthesizing tones...") perf_c = time.perf_counter() quarter_notes = {note: instrument(notes[note], tempo) for note in notes} half_notes = {note: instrument(notes[note], tempo*2) for note in notes} full_notes = {note: instrument(notes[note], tempo*4) for note in notes} silence = Sample.from_array([0]*int(synth.samplerate*tempo*2), synth.samplerate, numchannels=1) if profiling: print(time.perf_counter()-perf_c) else: song = "A A B. A D. C#.. ; A A B. A E. D.. ; A A A. F#.. D C#.. B ; G G F#.. D E D ; ; "\ "A A B. A D C#.. ; A A B. A E D. ; A A A. F#.. D C#.. B ; G G F#.. D E D ; ; " with Output(synth.samplerate, synth.samplewidth, 1, mixing="sequential") as out: for note in song.split(): if note == ";": print() out.play_sample(silence) continue print(note, end=" ", flush=True) if note.endswith(".."): sample = full_notes[note[:-2]] elif note.endswith("."): sample = half_notes[note[:-1]] else: sample = quarter_notes[note] out.play_sample(sample) print() out.wait_all_played()
def a440(): synth = WaveSynth(samplerate=44100, samplewidth=4) a440 = synth.sine(440, duration=2) with Output.for_sample(a440) as out: out.play_sample(a440) out.wait_all_played()
def create_synth(self): samplerate = self.samplerate_choice.get() self.synth = WaveSynth(samplewidth=2, samplerate=samplerate) if self.output is not None: self.output.close() self.output = Output(self.synth.samplerate, self.synth.samplewidth, 1, mixing="mix")
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, mixing="sequential") as out: synth = WaveSynth() 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) # s_all.write_wav("fmtestall.wav") out.wait_all_played()
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()