Finding structure and repetitions in a musical signal is crucial to enable interactive browsing into large databases of music files. Notably, it is useful to produce short summaries of musical pieces, or "audio thumbnails". In this paper, we propose an algorithm to find repeating patterns in an acoustic musical signal. We first segment the signal into a meaningful succession of timbres. This gives a reduced string representation of the music, the texture score, which doesn't encode any pitch information. We then look for patterns in this representation, using two techniques from image processing: Kernel Convolution and Hough Transform. The resulting patterns are relevant to musical structure, which shows that pitch is not the only useful representation for the structural analysis of polyphonic music.

Authors: Aucouturier, Jean-Julien; Sandler, Mark
Affiliations: Sony Computer Science Laboratory, Paris, France ; Dep. of Electronic Engineering, Queen Mary University of London, Mile End Road, London, UK(See document for exact affiliation information.)
AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio (June 2002)
Paper Number: 000204
Publication Date: June 1, 2002 Import into BibTeX
Subject: Virtual, Synthetic and Entertainment Audio
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=11163

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