A MUSIC STRUCTURE INFERENCE ALGORITHM BASED ON MORPHOLOGICAL ANALYSIS

Gabriel Sargent 1 Frédéric Bimbot 1 Emmanuel Vincent 1
1 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Music structure refers to the description of the long term organization of a music piece through a sequence of structural segments. A structural segment can be defined by its structural borders (a start time, an end time) and a label reflecting the similarity of its music content compared to the other segments'. Its duration is typically around 16 s and more. This document presents the music structure estimation system submitted to MIREX's structural segmentation task in 2012. It is composed of three steps : feature extraction, structural border estimation and segment labeling. First, the system produces a sequence of chroma vectors expressed at the snap scale. This sequence is used to calculate a segmentation criterion based on a morphological model of the structural segments. The structural border estimation is performed by searching the segmentation with lowest cost, which combines this criterion and a regularity constraint. The segments are then labeled by clustering according to their similarity, through the minimization of an adaptive model selection criterion.
Type de document :
Poster
The Music Information Retrieval Evaluation eXchange (MIREX), ISMIR 2012, Oct 2012, Porto, Portugal
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Dernière modification le : jeudi 21 mars 2019 - 14:20:12
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Gabriel Sargent, Frédéric Bimbot, Emmanuel Vincent. A MUSIC STRUCTURE INFERENCE ALGORITHM BASED ON MORPHOLOGICAL ANALYSIS. The Music Information Retrieval Evaluation eXchange (MIREX), ISMIR 2012, Oct 2012, Porto, Portugal. 〈hal-00727791v2〉

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