Intuitive sound synthesis in python.
pip install pynthlib
Or directly from this repo:
git clone https://github.com/MatejBevec/pynth
pip install ./pynthlib
To visualize the computation graphs, you will also need to install Graphviz, which
Note that the graphviz library, used to visualize computation graphs, requires an installation of the Graphviz sofware. See https://pypi.org/project/graphviz/ for installation instructions.
Below are some usage examples.
For more info, feel free to read DESCRIPTION.pdf and check out examples.py.
Please note that this project is in a prototype stage and is not optimized in terms of performance and reliability and is missing many planned features.
from pynthlib import *
out = 0.5 * Sin(200)
for i in range(5):
out += 0.1 * Sin(100*i)
drawgraph(out)
showsound(out, t2=0.1)
out.play(5*SR)
overtones.mp4
sample, sr = librosa.load("file.wav", mono=False)
l = Wave(sample[0, :])
r = Wave(sample[1, :])
SR = sr
out = 0.5 * (0.5*l - 0.5*r)
out += 0.5 * MovingAvg(0.5*l + 0.5*r, M=50)
vocal-remover.mp4
noise = WhiteNoise()
cutmod = Unipol(.5*Sin(1/3) + .5*Sin(1/5)) * 0.1
resmod = Unipol((.5*Sin(1) + .5*Sin(.8)) >> 0.3)
resmod = resmod * 0.4 + 0.1
out = Scope(Lowpass(noise, cutmod, resmod))
wind.mp4
noise = Wave(np.random.rand(4000)-0.5)
delay = Delay(None, delay=0.005)
add = noise + delay
delay.ins["a"] = 0.95 * MovingAvg(add, M=10)
out = add
frozen = Wave(add.eval(2*SR))
karplus.mp4
import keyboard
control = Input()
env = Envelope(Scope(control), (2000, 0, 0, 8000))
out = Scope(env)
out = Scope(out * Saw(100))
val = 0
def loop(t):
if keyboard.is_pressed(’l’):
control.set(1)
else:
control.set(0)
out.play(30*SR, live=True, callback=loop)