Pictures of Sound: One Thousand Years of Educed Audio: 980-1980

Data sonification is a practice and genre in which numerical or categorical datasets are mapped to sound so that patterns in the data are perceived as musical structure. It differs from simple parameter automation by letting the data itself determine pitch, rhythm, dynamics, timbre, and spatial behavior through clearly defined mappings. Works range from direct audification of scientific signals (e.g., seismic or astronomical measurements) to carefully designed parameter mappings and model-based approaches that translate complex, multivariate datasets into layered sonic textures. Because it sits at the intersection of art, science, and design, data sonification is used both for aesthetic expression and for communicating or revealing structure in data that might be hard to see visually.

Graphical sound is an early electroacoustic technique and aesthetic in which audio is generated from drawings, stencils, or photographed shapes placed on optical film soundtracks. Instead of recording a vibrating source with a microphone, composers directly designed waveforms and spectra, then scanned them with optical readers to produce sound. Emerging in the Soviet Union and Germany, practitioners treated sound as visible geometry: curves set the waveform, patterns set the spectrum, and motion through time created phrasing and rhythm. The result ranges from pure tones and microtonal glissandi to dense, noise-like textures—predating and foreshadowing later tape, electronic, and spectral practices.