Similarity knowledge formalisation for audio engineering

Sauer, Christian, Roth-Berghofer, Thomas, Auricchio, Nino and Proctor, Sam (2012) Similarity knowledge formalisation for audio engineering. Expert Update, 13 (1). ISSN 1465-4091

[img]
Preview
PDF
UK_CBR_2012-final.pdf - Accepted Version

Download (494kB) | Preview

Abstract

This paper describes an approach to externalisation of the tacit knowledge used by experienced audio engineers to affectively describe emotions evoked by a sound or piece of music. We formalised the adjectives describing the timbre of a sound as well as their relationships. The main problems are the vagueness of emotions and the variation in the emotions the same single percept can trigger in different people. We demonstrate how similarity knowledge can be used to process fuzzy and incomplete queries to emulate the vagueness and differentiation associated with the emotions triggered by a sound percept. We capture the experience of audio engineers by mapping the formalised vocabulary of timbre-describing adjectives to their workflows, which describe the actions to change the spectral shaping of a sound and its emotional effect.

Item Type: Article
Uncontrolled Keywords: Case-based reasoning, audio engineering, similarity measures, knowledge formalisation
Subjects: Computing
Depositing User: Vani Aul
Date Deposited: 17 Dec 2013 15:35
Last Modified: 03 Mar 2017 09:35
URI: http://repository.uwl.ac.uk/id/eprint/521

Downloads

Downloads per month over past year

Actions (login required)

View Item View Item

Menu