Pyo

Pyo[edit | edit source]

Pyo is a powerful and versatile digital signal processing (DSP) library written in Python. It provides a wide range of audio processing functionalities, making it a popular choice among musicians, sound designers, and researchers in the field of audio synthesis and analysis. Pyo allows users to create complex audio systems by combining various sound generators, filters, and effects.

History[edit | edit source]

Pyo was developed by Olivier Bélanger in 2008 as a response to the lack of a comprehensive DSP library in Python. Bélanger aimed to create a tool that would enable musicians and sound enthusiasts to explore and experiment with sound synthesis and processing using a familiar programming language. Over the years, Pyo has gained a strong following and has become an essential tool in the Python audio community.

Features[edit | edit source]

Pyo offers a wide range of features that allow users to manipulate and generate audio signals. Some of its key features include:

- **Sound Generators**: Pyo provides various sound generators, such as oscillators, noise generators, and sample players, allowing users to create different types of audio signals.

- **Filters**: Pyo includes a variety of filters, including low-pass, high-pass, band-pass, and resonant filters, which can be used to shape and modify audio signals.

- **Effects**: Pyo offers a collection of effects, such as delay, reverb, chorus, and flanger, that can be applied to audio signals to create unique and interesting sounds.

- **MIDI Integration**: Pyo supports MIDI input and output, allowing users to control and interact with their audio systems using MIDI devices.

- **Real-Time Processing**: Pyo is designed for real-time audio processing, making it suitable for live performances and interactive installations.

Usage[edit | edit source]

Pyo can be used in a variety of contexts, ranging from music production and performance to scientific research. Musicians and sound designers can use Pyo to create complex audio systems, generate unique sounds, and apply effects to their compositions. Researchers can utilize Pyo's powerful signal processing capabilities for tasks such as audio analysis, synthesis, and algorithm development.

Examples[edit | edit source]

Here are a few examples of how Pyo can be used:

- **Simple Oscillator**: Using Pyo's oscillator class, users can generate a simple sine wave:

``` from pyo import *

s = Server().boot() s.start()

osc = Sine(freq=440, mul=0.2).out()

s.gui(locals()) ```

- **Granular Synthesis**: Pyo's granulator class allows users to create complex textures by manipulating small grains of sound:

``` from pyo import *

s = Server().boot() s.start()

snd = SndTable("path/to/soundfile.wav") pos = Phasor(freq=1, mul=snd.getDur()) dur = Noise(mul=0.1, add=0.1) g = Granulator(snd, grainsize=0.1, overlap=0.05, pos=pos, dur=dur).out()

s.gui(locals()) ```