We present a method for segmenting musical audio into structural sections, and some rules for choosing a representative 'thumbnail' segment. We demonstrate how audio thumbnails are an effective and natural way of returning results in music search applications. We investigate the use of segment-based models for music similarity searching and recommendation. We report experimental results of the performance and efficiency of these approaches in the context of SoundBite, a demonstration music thumbnailing and search engine.
Levy, Mark; Sandler, Mark
Affiliation: Queen Mary, University of London
AES Convention: 120 (May 2006) Paper Number: 6642
Publication Date: May 1, 2006
Session Subject: Analysis and Synthesis of Sound; Mobile Phone Audio; Automobile Audio
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