Wave Space Sonification
Abstract
This paper introducesWave Space Sonification (WSS), a novel
class of sonification techniques for time- (or space-) indexed data.
WSS doesn’t fall into the classes of Audification, Parameter-
Mapping Sonification or Model-based Sonification and thus constitutes
a novel class of sonification techniques. It realizes a different
link between data and their auditory representation, by scanning
a scalar field – defined as wave space – along a data-driven
trajectory. This allows both the highly controlled definition of the
auditory representation for any area of interest, as well as subtle
yet acoustically complex sound variations as the overall pattern
changes. To illustrate Wave Space Sonification (WSS), we introduce
three different WSS instances, (i) the Static Canonical WSS,
(ii) Data-driven Localized WSS and (iii), Granular Wave Space
Sonification (GWSS), and we demonstrate the different methods
with sonification examples from various data domains. We discuss
the technique and its relation to other sonification approaches
and finally outline productive application areas.