Sound spotting: an approach to content-based sound retrieval


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

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Description/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.

Item Type: Book Section
Keywords: content-based retrieval, sound classification, auditory model, selforganizing map, string matching
Subjects: M Music and Books on Music > M Music
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: University Structure - Pre August 2011 > School of Humanities > Music
ePrint ID: 69301
Date Deposited: 29 Oct 2009
Last Modified: 27 Mar 2014 18:49
Publisher: De Montfort University
URI: http://eprints.soton.ac.uk/id/eprint/69301

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