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New Visual Tools for Rhythmic Partitioning Analysis of Musical Texture

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DOI:

https://doi.org/10.52930/mt.v7i2.240

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.

Author Biographies

Marcos da Silva Sampaio, Universidade Federal da Bahia

Marcos Sampaio is a composer, professor, and researcher in Music Theory and Composition and is interested in Computational Musicology and Contour Relations Theory. He is an Associate Professor at the Federal University of Bahia School of Music (UFBA), where he got his Ph.D. In this institution, Marcos works in research, teaching, and administration. He is a founding member of the Brazilian Association of Music Theory and Analysis and a member of Genos, a research group on Music Theory, Composition, and Computation. He was also the coordinator of the UFBA’s Composition and Conducting Bachelor Course (2019 to 2021).

Pauxy Gentil-Nunes, Universidade Federal do Rio de Janeiro

Composer and flutist. Master Degree in Composition and Doctor Degree in Musical Language and Structure. Professor or Harmony, Analysis and Composition in School of Music of Federal University of Rio de Janeiro. Continuous activity and many musical works performed and recorded in Brazil and overseas. Participation, in 2015, as panelist and composer, in EXPO 2015 Milano. Works on CDs National Symphony Orchestra plays Today Composers (2016) and Trio Paineiras plays Today Composers (2017). Participation in International Festival RC4 with his autoral concert, Liberjongo (2017). Guest composer in XXIV Brazilian Contemporary Music Biennial Festival of Funarte (2021). Founder and member of the research group MusMat, focused in applications of mathematical models in composition, from 2013 to 2020. Founder and member of the research group Performance Hoje. Coordinator of Post-Graduation Program in Music of Federal University of Rio de Janeiro from 2015 to 2019.

Vicente Sanches de Oliveira, Universidade Federal da Bahia

Vicente Sanches de Oliveira is an Undergraduate student in Orchestral Conducting at the Federal University of Bahia (UFBA). He is a member of the Genos research group. In addition to academic and artistic activities, such as collaborations with musical groups such as the UFBA Madrigal, the UFBA Symphony Orchestra, and the Núcleo de Ópera da Bahia, Vicente is involved in research projects in the areas of Musical Analysis and Computational Musicology since 2019.

Sidnei Marques de Oliveira, Universidade Federal da Bahia

Sidnei Marques de Oliveira has a Bachelor's degree in Music Composition from the Federal University of Bahia. Currently, he is a master's student in the same institution under the guidance of Dr. Marcos Sampaio. Sidnei is researching relations between Musical Composition, Musical Contour, Systematic Modelling, and Rhythmic Partitioning Analysis. He won UFBA's Ernst Widmer Composition Prize in 2008 with a piece based on musical contours.

Jaderson Cardona de Oliveira, Universidade Federal da Bahia

Jaderson Oliveira is a student of the Bachelor’s Degree in Composition and Conducting at the Federal University of Bahia. Besides Musical Composition, he is active in singing and researching areas and participated as a scholarship holder of the Coro Madrigal at UFBA between 2019 and 2021. Since 2020, he has participated in research projects in the area of Analysis and Computational Musicology as a Scientific Initiation Scholar.

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Published

2023-03-01

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Issue

Vol. 7 No. 2 (2022): August to December

Section

Artigos

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Copyright (c) 2023 Marcos da Silva Sampaio, Pauxy Gentil-Nunes, Vicente Sanches de Oliveira, Sidnei Marques de Oliveira, Jaderson Cardona de Oliveira

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.