introduces structured timing deviations to incoming triggers: swing, jitter, or timing curves. transforms onset positions without altering their identity. operates atop both metrical (grid
) and non-metrical (field
) sources, with some forms only meaningful in grid contexts.
id 0 quantize
description: pull events toward nearest metrical point with adjustable strength
real-world analogy: timing correction or humanization
notes:
a controls snap strength (0 = no change, 1 = full quantize)
b controls curve sharpness (linear to exponential)
meaningful only when upstream is grid
or metrical reference is available
id 1 swing
description: delays every other subdivision to create rhythmic lilt
real-world analogy: shuffle feel, swing eighths
notes:
a sets swing ratio (0 = no swing, 1 = full delay)
b selects phase (0 = even beats delayed, 1 = odd)
assumes a uniform subdivision; applicable only with grid
id 2 micro jitter
description: adds small random offsets to each event
real-world analogy: live performer timing variation
notes:
a sets max jitter range (fraction of segment)
b sets distribution shape (0 = uniform, 1 = gaussian)
applies to any trigger stream (grid or field)
id 3 push/pull curve
description: applies a continuous timing bias curve over a segment
real-world analogy: expressive lean-in or drag
notes:
a controls curve direction (0 = push early, 1 = pull late)
b controls intensity
usable over both metrical and non-metrical streams
quantize
a: snap strength
b: snap curve sharpness
requires metrical reference
swing
a: delay ratio
b: phase selector
requires regular subdivisions
micro jitter
a: random offset range
b: distribution shape
works with any input
push/pull curve
a: bias direction
b: bias intensity
works with any input
grid
inputsthe set spans corrective, expressive, and stochastic timing deviations. two forms are general (jitter
, curve
), two require metrical context (quantize
, swing
).
pattern
)structure
)offset
shapes micro-timing after trigger generation. its forms offer grid-bound correction, freeform deviation, and expressive shaping—completing the onset architecture’s timing layer. deterministic, local, and fully parametric, they remain valid across both grid
and field
foundations.