Map, Trigger, Score, Procedure: machine-listening paradigms in live-electronics

Autores

  • Vinícius Cesar de Oliveira Universidade Estadual de Campinas
  • José Henrique Padovani Universidade Federal de Minas Gerais

DOI:

https://doi.org/10.33871/23179937.2022.10.1.3

Palavras-chave:

live-electronics, machine listening, music composition, compositional paradigms

Resumo

Since the advent of real-time computer music environments, composers have increasingly incorporated DSP analysis, synthesis, and processing algorithms in their creative practices. Those processes became part of interactive systems that use real-time computational tools in musical compositions that explore diverse techniques to generate, spatialize, and process instrumental/vocal sounds. Parallel to the development of these tools and the expansion of DSP methods, new techniques focused on sound/musical information extraction became part of the tools available for music composition. In this context, this article discusses the creative use of Machine Listening and Musical Information Retrieval techniques applied in the composition of live-electronics works. By pointing out some practical applications and creative approaches, we aim to circumscribe, in a general way, the strategies for employing Machine Listening and Music Information Retrieval techniques observed in a set of live-electronics pieces, categorizing four compositional approaches, namely: mapping, triggering, scoring, and procedural paradigms of application of machine listening techniques in the context of live-electronics music compositions.

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Biografia do Autor

Vinícius Cesar de Oliveira, Universidade Estadual de Campinas

Viní­cius Cesar de Oliveira holds a bachelor's degree in music composition (2018) and a master's degree in creative processes (2022) from Unicamp. Currently, he is studying for a doctorate's degree in music at the Arts Institute (Unicamp), where he researches compositional strategies in the use of machine listening and music information retrieval associated with machine learning in the context of live-electronic music under the supervision of Prof. Dr. José Henrique Padovani. ORCID: https://orcid.org/0000-0002-7711-3949

José Henrique Padovani, Universidade Federal de Minas Gerais

José Henrique Padovani is Assistant Professor at the School of Music of the Federal University of Minas Gerais (UFMG), teaching Composition, Computer Music, and Music Theory. Padovani is a member of the Music Graduate Programs at the School of Music at UFMG and the Institute of Arts of the State University of Campinas (UNICAMP). More information at: http://josehenriquepadovani.com and http://musica.ufmg.br/padovani/. ORCID: https://orcid.org/0000-0002-8919-7393

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Publicado

30.04.2022

Como Citar

de Oliveira, V. C., & Padovani, J. H. (2022). Map, Trigger, Score, Procedure: machine-listening paradigms in live-electronics. Revista Vórtex, 10(1). https://doi.org/10.33871/23179937.2022.10.1.3

Edição

Seção

Dossier "18th Brazilian Symposium on Computer Music"