Mandrit: a system for automatic generation of musical visualizations for rhythm analysis
Resumo
Faced with the representational challenge of visually communicating musical information, we developed Mandrit: a system for automatic generation of musical visualizations for rhythm analysis. It uses data extracted from MIDI files to plot graphs for different songs, representing their rhythmic signatures. The system is customizable and presents new ways to visualize pace through different metrics. We aim to encourage the discussion in this field and the development of tools to generate musical visualizations, as a means to help musicians and scholars in musical analysis, teaching, composing and complementing musical performances.
Palavras-chave:
Computational Musicology, Computer Music and Creative processes, Music Analysis and Synthesis
Referências
Hugo Carlos Cavalcanti. Da partitura Musical: Um olhar estético a preservação da memória. Master Dissertation, Center for Arts and Communication, Postgraduate Program in Information Science, Federal University of Pernambuco, Recife, 2013.
Delfina Malandrino, Donato Pirozzi, and Rocco Zaccagnino. Visualization and music harmony: Design, implementation, and evaluation. In 2018 22nd International Conference Information Visualisation (IV), pages 498–503, Fisciano, Italy, July 2018. IEEE.
Ulrich Michels. Atlas de Musica, 1, volume 1. Alianza Atlas, Madrid, 1987.
Ethan Hein. Designing the Drum Loop: A constructivist iOS rhythm tutorial system for beginners. PhD thesis, Steinhardt School of Culture, Education, and Human Development, New York University, 2013.
Giordano Cabral and Robert Willey. Analyzing Harmonic Progressions with HarmIn: the Music of Antônio Carlos Jobim. page 12, 2007.
Julian Scordato. Composing with Iannix. In Proceedings of the Fifth Conference on Computation, Communication, Aesthetics and X., volume V, page 389, Lisboa, Portugal, 2017.
Tim Brown. IDEO: Design Thinking, 2018.
Maurício Vianna, Ysmar Vianna, Isabel K Adler, Brenda Lucena, and Beatriz Russo. Design Thinking: Inovação em Negócios. [recurso eletrônico]. MJV Press, Rio de Janeiro, 2012.
Godfried T Toussaint. The Geometry of Musical Rhythm: What Makes a “Good” Rhythm Good? CRC Press, 2013.
João Gomes Filho. Gestalt do Objeto: Sistema Visual de Leitura da Forma. Escrituras, São Paulo, 8 edition, 2008.
Fernando Luiz Vechiato and Alessandra Stefane Cândido Elias da Trindade. Encontrabilidade da informação em ambientes informacionais: diálogo teórico entre os conceitos Intencionalidade e affordance. Prisma.com, (42):3–20, 2020.
Delfina Malandrino, Donato Pirozzi, and Rocco Zaccagnino. Visualization and music harmony: Design, implementation, and evaluation. In 2018 22nd International Conference Information Visualisation (IV), pages 498–503, Fisciano, Italy, July 2018. IEEE.
Ulrich Michels. Atlas de Musica, 1, volume 1. Alianza Atlas, Madrid, 1987.
Ethan Hein. Designing the Drum Loop: A constructivist iOS rhythm tutorial system for beginners. PhD thesis, Steinhardt School of Culture, Education, and Human Development, New York University, 2013.
Giordano Cabral and Robert Willey. Analyzing Harmonic Progressions with HarmIn: the Music of Antônio Carlos Jobim. page 12, 2007.
Julian Scordato. Composing with Iannix. In Proceedings of the Fifth Conference on Computation, Communication, Aesthetics and X., volume V, page 389, Lisboa, Portugal, 2017.
Tim Brown. IDEO: Design Thinking, 2018.
Maurício Vianna, Ysmar Vianna, Isabel K Adler, Brenda Lucena, and Beatriz Russo. Design Thinking: Inovação em Negócios. [recurso eletrônico]. MJV Press, Rio de Janeiro, 2012.
Godfried T Toussaint. The Geometry of Musical Rhythm: What Makes a “Good” Rhythm Good? CRC Press, 2013.
João Gomes Filho. Gestalt do Objeto: Sistema Visual de Leitura da Forma. Escrituras, São Paulo, 8 edition, 2008.
Fernando Luiz Vechiato and Alessandra Stefane Cândido Elias da Trindade. Encontrabilidade da informação em ambientes informacionais: diálogo teórico entre os conceitos Intencionalidade e affordance. Prisma.com, (42):3–20, 2020.
Publicado
24/10/2021
Como Citar
MOURA, Rute; CABRAL, Giordano; ALMEIDA, Horhanna; SCHOLZ, Ricardo.
Mandrit: a system for automatic generation of musical visualizations for rhythm analysis. In: SIMPÓSIO BRASILEIRO DE COMPUTAÇÃO MUSICAL (SBCM), 18. , 2021, Recife.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 30-36.
DOI: https://doi.org/10.5753/sbcm.2021.19422.
