Sonic cartoons and semantic audio processing: using invariant properties to create schematic representations of acoustic phenomena
Andrew Bourbon, Simon Zagorski‐Thomas · UWL Repository (University of West London) · 2016
The history of recording is often characterized as a history of improving audio quality whereas the notion of sonic cartoons requires us to re-think it as a history of clarity and the creation of schematic representations. Using the ecological approach to perception and embodied cognition, we will consider the invariant properties of various acoustic phenomena as a way of developing a range of strategies for semantic audio processing. In this context, semantic audio processing refers to plug-ins that utilize semantic descriptors to control multiple parameters. An example of this might be Waves’ Tony Maserati Signature Series which provide controls with labels such as ‘thump’ and ‘snap’. The notion of sonic cartoons provides a framework for a much more nuanced application of this approach.