Titre :

A Dataset of Symbolic Texture Annotations in Mozart Piano Sonatas

Auteur(s) :

Couturier, Louis [Auteur]
Modélisation, Information et Systèmes - UR UPJV 4290 [MIS]
Bigo, Louis [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Leve, Florence [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Modélisation, Information et Systèmes - UR UPJV 4290 [MIS]

Titre de la manifestation scientifique :

International Society for Music Information Retrieval Conference (ISMIR 2022)

Ville :

Bengaluru

Pays :

Inde

Date de début de la manifestation scientifique :

2022-12-08

Date de publication :

2022

Mot(s)-clé(s) en anglais :

musical texture
dataset
symbolic music
piano
symbolic musical features

Discipline(s) HAL :

Informatique [cs]
Informatique [cs]/Apprentissage [cs.LG]
Sciences de l'Homme et Société/Musique, musicologie et arts de la scène

Résumé en anglais : [en]

Musical scores are generally analyzed under different aspects, notably melody, harmony, rhythm, but also through their texture, although this last concept is arguably more delicate to formalize. Symbolic texture depicts ...
Lire la suite >Musical scores are generally analyzed under different aspects, notably melody, harmony, rhythm, but also through their texture, although this last concept is arguably more delicate to formalize. Symbolic texture depicts how sounding components are organized in the score. It outlines the density of elements, their heterogeneity, role and interactions. In this paper, we release a set of manual annotations for each bar of 9 movements among early piano sonatas by W. A. Mozart, totaling 1164 labels that follow a syntax dedicated to piano score texture. A quantitative analysis of the annotations highlights some characteristic textural features in the corpus. In addition, we present and release the implementation of low-level descriptors of symbolic texture, that are preliminary experimented for textural elements prediction. The annotations and the descriptors offer promising applications in computer-assisted music analysis and composition.Lire moins >

Langue :

Anglais

Comité de lecture :

Oui

Audience :

Internationale

Vulgarisation :

Non

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL