Prelude >> Theory

Sonic Layering

  • Represent "abundance," "richness," or a large quantity with more layers of sound.
  • Capture a reduction of quantity by reducing the number of layers.
  • Layers / richness → simplicity / sparseness

Randomization & Scattering

  • Represent a large quantity with many notes.
  • Capture wide-ranging data values by scattering notes across pitch and position.
  • More clustered notes reflect less range.
  • Sonic diversity → sonic homogeneity

Amplitude

  • Represent large quantities or salient characteristics with greater amplitude.
  • Loudness reflects presence and abundance, and quietness reflects decline.
  • Capture a reduction of range with fewer, more clustered notes.s
  • Loudness → softness

Sonic Intervals

  • Represent distance of data values with musical distance.
  • Capture variation between data points greater ranger between notes.
  • Sonic difference → sonic similarity