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..


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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: Conference or Workshop Item (Paper)
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
ePrint ID: 69301
Date :
Date Event
21 June 2001Published
Date Deposited: 29 Oct 2009
Last Modified: 18 Apr 2017 21:13
Further Information:Google Scholar

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