A Neural Network Approach for Synthesising Timbres from Adjectives

Gounaropoulos, Alex, Johnson, Colin Graeme (2007) A Neural Network Approach for Synthesising Timbres from Adjectives. In: Proceedings of the 4th Sound and Music Computing Conference (SMC07). . National and Kapodistrian University of Athens, Athens, Greece ISBN 978-960-6608-75-9. (KAR id:71025)

PDF Author's Accepted Manuscript Language: English
Download this file (PDF/250kB)	Preview
Request a format suitable for use with assistive technology e.g. a screenreader
Official URL: http://smc07.uoa.gr/SMC07%20Proceedings.htm

Abstract

This paper describes a computer sound syn- thesis system, based on artificial neural networks, that constructs a mapping between adjectives and adverbs that describe timbres, and sounds having those timbres. This is used in two ways: firstly, to recognize the timbral characteristics of sounds supplied to the system, and, secondly, to make changes to sounds based on descriptions of timbral change.

Item Type:	Conference or workshop item (Poster)
Subjects:	M Music and Books on Music > M Music Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions:	Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User:	Colin Johnson
Date Deposited:	14 Dec 2018 11:56 UTC
Last Modified:	05 Nov 2024 12:33 UTC
Resource URI:	https://kar.kent.ac.uk/id/eprint/71025 (The current URI for this page, for reference purposes)

University of Kent Author Information

Gounaropoulos, Alex.

Creator's ORCID:
CReDIT Contributor Roles:

Johnson, Colin Graeme.

Creator's ORCID:	https://orcid.org/0000-0002-9236-6581
CReDIT Contributor Roles:

Depositors only (login required):

Download Statistics

Total unique views for this document in KAR since July 2020. For more details click on the image.