SWAM (Synchronous Waves Acoustic Modeling) is a proprietary technology conceived by Stefano Lucato and further developed by Emanuele Parravicini. It combines concepts of Physical Modeling and Behavioral Modeling with the Multi-Vector/Phase-Synchronous Sample-Morphing technique.
The SWAM technology is best suited for multi-vector expressive acoustic instruments, i.e., instruments that require continuous input energy and control by the musician on several dimensions at the same time, particularly for woodwinds, brass, and bowed strings.
SWAM is currently applied in three different engines: SWAM-B, SWAM-W, and SWAM-S.
SWAM-B models the Brass instruments (Mutes included), SWAM-W is most suitable for modeling Woodwinds, while SWAM-S is most suitable for modeling Bowed Strings.