The University of Southampton
University of Southampton Institutional Repository

Sound spotting: an approach to content-based sound retrieval

Spevak, Christian and Polfreman, Richard, (2001) Sound spotting: an approach to content-based sound retrieval Landy, Leigh (ed.) In Music without Walls? Music without Instruments? Proceedings of the International Conference. De Montfort University..

Record type: Conference or Workshop Item (Paper)

Abstract

We present an approach to content-based sound retrieval using auditory models, self-organizing neural networks, and string matching techniques. It addresses the issues of spotting perceptually similar occurrences of a particular sound event in an audio document. After introducing the problem and the basic approach we describe the individual stages of the system and give references to additional literature. The third section of the paper summarizes the preliminary experiments involving auditory models and self-organizing maps we carried out so far, and the final discussion reflects on the overall concept and suggests further directions.

PDF Spevak.PDF - Other
Download (159kB)

More information

Published date: 21 June 2001
Venue - Dates: Music without Walls? Music Without Instruments?, 2001-06-21 - 2001-06-23
Keywords: content-based retrieval, sound classification, auditory model, selforganizing map, string matching

Identifiers

Local EPrints ID: 69301
URI: http://eprints.soton.ac.uk/id/eprint/69301
PURE UUID: 03a5a88f-202c-44da-baac-8815b11168c6

Catalogue record

Date deposited: 29 Oct 2009
Last modified: 19 Jul 2017 00:12

Export record

Contributors

Author: Christian Spevak
Editor: Leigh Landy

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.

×