#74 Augmenting Sound Mosaicing with Descriptor-Driven Transformation
Graham Coleman, Esteban Maestre, Jordi Bonada
We propose a strategy for integrating
descriptor-driven transformation into mosaicing sound synthesis,
in which samples are selected by taking into account
potential distances in the transformed space.
Target descriptors consisting of chroma,
mel-spaced filter banks, and energy are modeled with respect
to windowed bandlimited resampling and mel-spaced filters,
and later corrected with gain.
These transformations, however simple,
allow some adaptation of textural sound material to musical contexts.
