The Inconstancy of Music
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
The Inconstancy of Music
Auteur(s) :
Leve, Florence [Auteur]
Modélisation, Information et Systèmes - UR UPJV 4290 [MIS]
Algomus
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Micchi, Gianluca [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Algomus
Allouche, Jean-Paul [Auteur]
Centre National de la Recherche Scientifique [CNRS]
Institut de Mathématiques de Jussieu - Paris Rive Gauche [IMJ-PRG (UMR_7586)]
Modélisation, Information et Systèmes - UR UPJV 4290 [MIS]
Algomus
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Micchi, Gianluca [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Algomus
Allouche, Jean-Paul [Auteur]
Centre National de la Recherche Scientifique [CNRS]
Institut de Mathématiques de Jussieu - Paris Rive Gauche [IMJ-PRG (UMR_7586)]
Titre de la revue :
Journal of Mathematics and Music
Éditeur :
Taylor & Francis
Date de publication :
2023
ISSN :
1745-9737
Discipline(s) HAL :
Mathématiques [math]/Mathématiques générales [math.GM]
Informatique [cs]
Sciences de l'Homme et Société/Musique, musicologie et arts de la scène
Informatique [cs]
Sciences de l'Homme et Société/Musique, musicologie et arts de la scène
Résumé en anglais : [en]
A melody is often described as a line of music that evolves through time and, therefore, it is possible to draw its 2D pitch-time representation as a series of points implicitly defining a curve. We introduce to computational ...
Lire la suite >A melody is often described as a line of music that evolves through time and, therefore, it is possible to draw its 2D pitch-time representation as a series of points implicitly defining a curve. We introduce to computational musicology a descriptor of this music curve: the inconstancy, a function that gives information on the curve's smoothness as well as some of its topological properties. A mathematical analysis of the inconstancy of music is provided, followed by a lengthy application of inconstancy to musicological tasks. We compare the inconstancy of melodic lines with that of typical accompaniment patterns such as the Alberti bass; this analysis, together with the case study of W.A. Mozart's Variations on Ah ! vous dirai-je, maman, suggests a significant difference in the value of the inconstancy of a music line depending on its function. The inconstancy seems to be correlated also with the compositional style: the analysis on almost 10,000 musical themes of the common practice repertoire shows that Baroque music has higher inconstancy. Finally, we also define a windowed version of the inconstancy for studying longer scores and show the insights one can gain into, for example, structural analysis and cadence detection.Lire moins >
Lire la suite >A melody is often described as a line of music that evolves through time and, therefore, it is possible to draw its 2D pitch-time representation as a series of points implicitly defining a curve. We introduce to computational musicology a descriptor of this music curve: the inconstancy, a function that gives information on the curve's smoothness as well as some of its topological properties. A mathematical analysis of the inconstancy of music is provided, followed by a lengthy application of inconstancy to musicological tasks. We compare the inconstancy of melodic lines with that of typical accompaniment patterns such as the Alberti bass; this analysis, together with the case study of W.A. Mozart's Variations on Ah ! vous dirai-je, maman, suggests a significant difference in the value of the inconstancy of a music line depending on its function. The inconstancy seems to be correlated also with the compositional style: the analysis on almost 10,000 musical themes of the common practice repertoire shows that Baroque music has higher inconstancy. Finally, we also define a windowed version of the inconstancy for studying longer scores and show the insights one can gain into, for example, structural analysis and cadence detection.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
Projet ANR :
Collections :
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