Bourbon, Andrew and Zagorski-Thomas, Simon ORCID: https://orcid.org/0000-0002-4632-0320 (2016) Sonic cartoons and semantic audio processing: using invariant properties to create schematic representations of acoustic phenomena. In: 2nd AES Workshop on Intelligent Music Production, 13 September 2016, London, UK.

Preview

PDF Bourbon-Zagorski-Thomas-2016-Sonic-cartoons-and-semantic-audio-processing.pdf - Published Version Available under License Creative Commons Attribution. Download (147kB) | Preview

Abstract

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.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
Subjects:	Music Music > Music/audio technology
Depositing User:	Simon Zagorski-Thomas
Date Deposited:	03 May 2017 14:56
Last Modified:	28 Aug 2021 07:22
URI:	https://repository.uwl.ac.uk/id/eprint/3291

Downloads

Actions (login required)

View Item