New Visual Tools for Rhythmic Partitioning Analysis of Musical Texture. Sampaio, M., Gentil-Nunes, P., Oliveira, V. S. d., Oliveira, S. M. d., & Oliveira, J. C. Revista Musica Theorica, 7(2):215–246, 2022.
Paper doi abstract bibtex The Partitional Theory of Texture provides a graphical tool, the partitiogram, to show relations between textural partitions. Despite its great utility, the partitiogram does not identify the occurrence frequency of each partition in a piece. In this paper, we propose two new partitiograms to represent partitions' occurrence frequency and to show partitions' differences among the sections of a given piece. The proposed tools made it possible to identify relevant aspects of the texture in nine works analyzed.
@Article{ sampaio.ea2022-new,
author = {{Sampaio}, {Marcos da Silva} and Gentil-Nunes, Pauxy and
Oliveira, Vicente Sanches de and Oliveira, Sidnei Marques
de and Oliveira, Jaderson Cardona},
year = {2022},
title = {New Visual Tools for Rhythmic Partitioning Analysis of
Musical Texture},
abstract = {The Partitional Theory of Texture provides a graphical
tool, the partitiogram, to show relations between textural
partitions. Despite its great utility, the partitiogram
does not identify the occurrence frequency of each
partition in a piece. In this paper, we propose two new
partitiograms to represent partitions' occurrence
frequency and to show partitions' differences among the
sections of a given piece. The proposed tools made it
possible to identify relevant aspects of the texture in
nine works analyzed.},
doi = {10.52930/mt.v7i2.240},
journal = {Revista Musica Theorica},
keywords = {Rhythmic Partitioning Analysis, Textural Analysis, Music
Analysis, Python scripts, Music21},
number = {2},
pages = {215--246},
url = {https://revistamusicatheorica.tema.mus.br/index.php/musica-theorica/article/view/240},
volume = {7}
}
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