The University of Southampton
University of Southampton Institutional Repository

Towards detection of perceptually similar sounds: investigating self-organizing maps

Spevak, Christian, Polfreman, Richard and Loomes, Martin (2001) Towards detection of perceptually similar sounds: investigating self-organizing maps In Proceedings of the AISB'01 Symposium on Creativity in Arts and Sciences. The Society for the Study of Artificial Intelligence and Simulation of Behaviour., pp. 45-50.

Record type: Conference or Workshop Item (Paper)

Abstract

This paper outlines asystem for the detection of perceptually similar sounds ('sound spotting'), reports on a series ot preliminary experiments and discusses their results. The sound spotting system pursues a frame-based approach and consists of three main stages, an auditory model, a self-organizing map and a pattern matching algorithm. The experiments described examine how different types of self-organizmg maps classify a set of test sounds preprocessed by an auditory model and evaluate their performance by means ot visualizations and quality measures. With these outcomes in mind we suggest directions for the further development of the sound spotting system.

PDF toward_detection.pdf - Version of Record
Download (372kB)

More information

Published date: March 2001
Venue - Dates: AISB'01 Convention, United Kingdom, 2001-03-21 - 2001-03-24

Identifiers

Local EPrints ID: 67382
URI: http://eprints.soton.ac.uk/id/eprint/67382
ISBN: 1902956189
PURE UUID: 059c9285-3abf-488c-9a32-17d4d3206bef

Catalogue record

Date deposited: 29 Sep 2009
Last modified: 19 Jul 2017 00:19

Export record

Contributors

Author: Christian Spevak
Author: Martin Loomes

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×