Similarity Knowledge formalisation for Audio Engineering

Sauer, Christian, Auricchio, Nino, Proctor, Sam and Roth-Berghofer, Thomas (2012) Similarity Knowledge formalisation for Audio Engineering. In: Proceedings of the 17th UKCBR 2012 Workshop, 15 Dec 2012, Cambridge, UK.

[img]
Preview
PDF
Similarity Knowledge formalisation for Audio Engineering.pdf - Accepted Version

Download (506kB) | Preview

Abstract

The work presented in this paper demonstrates the externalisation of tacit knowledge encoded in a special vocabulary used by experienced audio engineers to a effectively describe emotions evoked by a sound or piece of music. We created an approach to formalising the adjectives
describing the timbre of a sound as well as their relationships and composing this special vocabulary. The known problems associated with the attempt to formalise and quantise emotions and descriptors of emotions are discussed. The problems are mainly the vagueness of emotions
and the variation in the emotions the same single percept can trigger in different humans. To amend these problems we used the Case-based reasoning (CBR) approach. In particular we demonstrate our project work to use CBR's ability to process fuzzy and incomplete queries to emulate the vagueness and differentiation associated with the emotions
triggered by a sound percept. We then describe our way of capturing the experience of audio engineers by mapping the formalised vocabulary of timbre-describing adjectives to workflows. These workflows describe the actions to be performed to change the spectral shaping of a sound
to change its emotional effect in reflection to the descriptive adjectives provided.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computing
Depositing User: Christian Sauer
Date Deposited: 26 May 2016 12:51
Last Modified: 02 Feb 2017 10:29
URI: http://repository.uwl.ac.uk/id/eprint/2173

Downloads

Downloads per month over past year

Actions (login required)

View Item View Item

Menu