Pyo - Python DSP module
pyo is a Python module written in C to help digital signal processing script creation.
pyo is a Python module containing classes for a wide variety of audio signal processing types. With pyo, user will be able to include signal processing chains directly in Python scripts or projects, and to manipulate them in real time through the interpreter. Tools in pyo module offer primitives, like mathematical operations on audio signal, basic signal processing (filters, delays, synthesis generators, etc.), but also complex algorithms to create sound granulation and others creative audio manipulations. pyo supports OSC protocol (Open Sound Control), to ease communications between softwares, and MIDI protocol, for generating sound events and controlling process parameters. pyo allows creation of sophisticated signal processing chains with all the benefits of a mature, and widely used, general programming language.
Systems : OS X (10.5 -> 10.10), linux, Windows (XP, Vista, 7, 8)
Python versions : 2.6, 2.7
Download latest binaries, source release and documentation HERE!
How to get pyo running from sources on OS X and linux: INSTALL Instructions
pyo was awarded second prize in the Lomus 2012 Free Software Competition.
If you want to listen to scripts rendered in real-time, just connect to Radio Pyo !
You want to have your script played on the radio ? Follow the instructions on this post !
Softwares using pyo as audio engine
Zyne : A modular soft synthesizer.
Soundgrain : A graphical interface where users can draw and edit trajectories to control granular sound synthesis.
Cecilia 5 : An audio signal processing environment.
PsychoPy : An open-source application to allow the presentation of stimuli and collection of data for a wide range of neuroscience, psychology and psychophysics experiments.
pyo is fully integrated to Python and very simple to use.
Play a sound:
>>> from pyo import * >>> s = Server().boot() >>> s.start() >>> sf = SfPlayer("path/to/your/sound.aif", speed=1, loop=True).out()
Granulate an audio buffer:
>>> s = Server().boot() >>> s.start() >>> snd = SndTable("path/to/your/sound.aif") >>> env = HannTable() >>> pos = Phasor(freq=snd.getRate()*.25, mul=snd.getSize()) >>> dur = Noise(mul=.001, add=.1) >>> g = Granulator(snd, env, [1, 1.001], pos, dur, 24, mul=.1).out()
>>> s = Server().boot() >>> s.start() >>> wav = SquareTable() >>> env = CosTable([(0,0), (100,1), (500,.3), (8191,0)]) >>> met = Metro(.125, 12).play() >>> amp = TrigEnv(met, table=env, mul=.1) >>> pit = TrigXnoiseMidi(met, dist='loopseg', x1=20, scale=1, mrange=(48,84)) >>> out = Osc(table=wav, freq=pit, mul=amp).out()
This project is developed by Olivier Bélanger on his free time to provide a fully integrated Python dsp module for sound exploration and music composition. If you feel this project is useful to you and want to support it and it's future development please consider donating money. I only ask for a small donation, but of course I appreciate any amount.