Methodology and conventions for the latent semiotic annotation of music structure

This document proposes and describes guidelines for the annotation of music structure into elementary units called semiotic blocks, reflecting high-level and high-scale similarities across the music piece. The annotation process requires both the localization of block boundaries (segmentation) and the determination of block classes (labeling). The proposed methodology is based on concepts and principles inspired and adapted from semiology. It combines elements resulting from the analysis of internal properties forming systems within blocks (morphological analysis), from the characterization of distinctive properties across blocks (paradigmatic analysis) and from the location and context of blocks within the music piece (syntagmatic analysis). The implementation of these principles has resulted in a set of notations which are also developed in the document.

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Source https://hal.science/hal-00676509
Author Bimbot, Frédéric, Deruty, Emmanuel, Sargent, Gabriel, Vincent, Emmanuel
Maintainer CCSD
Last Updated May 25, 2026, 18:08 (UTC)
Created May 25, 2026, 18:08 (UTC)
Identifier hal-00676509
Language en
Rights https://about.hal.science/hal-authorisation-v1/
contributor Speech and sound data modeling and processing (METISS) ; Institut de Recherche en Informatique et Systèmes Aléatoires (IRISA) ; Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) ; Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes) ; Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Centre Inria de l'Université de Rennes ; Institut National de Recherche en Informatique et en Automatique (Inria)
creator Bimbot, Frédéric
date 2012-02-24T00:00:00
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harvest_source_title test moissonnage SELUNE
metadata_modified 2025-03-28T00:00:00
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