Real-time Analysis of Interactive Scores in PWGL

Visualizações: 245

Autores/as

  • Mika Kuuskankare

DOI:

https://doi.org/10.33871/23179937.2022.10.1.4

Palabras clave:

computational musicology, soft real-time systems, computer-assisted composition, interactive music notation, music analysis

Resumen

In this article, we introduce an original approach to computerized music analysis within the graphical computer-assisted composition environment called PWGL. Our aim is to facilitate real-time analysis of interactive scores written in common Western music notation. To this end, we have developed a novel library that allows us to analyze scores realized with the help of ENP, and to visualize the results of the analysis in real-time. ENP is the native music notation tool of PWGL able to produce automatically typeset and interactive music notation. Here, it is extended to support the display of analytical information that can be drawn on top of the score as an overlay. The analysis backend is realized with the help of our built-in musical scripting language. The language is based on pattern-matching and allows for a rich access of score information. The results of the analysis are presented directly as a part of the original score leveraging the extensible and interactive visualization capabilities of ENP.

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Biografía del autor/a

Mika Kuuskankare

Dr. Mika Kuuskankare is a Finnish composer, with extensive background in music composition, research, and software engineering. Kuuskankare studied composition at the Sibelius Academy and received his Master's degree in Composition in 1999 and his doctorate in 2006. His compositional works include music for solo instruments, chamber ensembles and symphony and wind orchestras. His works are published by the Uusinta Publishing Company. During the past three decades, he has been involved in several interdisciplinary research projects that have resulted in important contributions to various areas computer music, and close to a hundred peer-reviewed publications. He was invited to do his research at IRCAM (Chercheur Invité, 2011) and at CCRMA, Stanford University (Visiting Scholar, 2012–2013). Kuuskankare is one of the originators of PWGL which is a graphical environment for computer-assisted composition. ORCID: https://orcid.org/0000-0001-8963-8104

Citas

BRESSON Jean; AGON Carlos. Visual programming and music score generation with OpenMu-sic. In IEEE Symposium on Visual Languages and Human-Centric Computing, 2011. DOI: https://doi.org/10.1109/VLHCC.2011.6070415

HAMEL Keith A. A design for music editing and printing software based on notational syntax. Per-spectives of New Music, Vol. 27, No. 1, 70–83, 1989. DOI: https://doi.org/10.2307/833255

HURON David. Music information processing using the Humdrum Toolkit: Concepts, examples, and lessons. Computer Music Journal, Vol. 26, No. 2, 15–30, 2002. DOI: https://doi.org/10.1162/014892602760137158

KUUSKANKARE Mika. Schenkerian analysis tools in ENP. In Proceedings International Com-puter Music Conference, 2013.

KUUSKANKARE Mika; LAURSON Mikael. Intelligent Scripting in ENP using PWConstraints. In Proceedings of International Computer Music Conference, pages 684–687, 2004.

KUUSKANKARE Mika; LAURSON Mikael. ENP Expression Designer – a Visual Tool for Cre-ating User Definable Expressions. In International Computer Music Conference, pages 307–310, 2005.

KUUSKANKARE Mika; LAURSON Mikael. Expressive Notation Package. Computer Music Journal, Vol. 30, No. 4, 67–79, 2006. DOI: https://doi.org/10.1162/comj.2006.30.4.67

KUUSKANKARE Mika; SAPP Craig. Visual Humdrum-library for PWGL. In Proceedings of ISMIR, 2013.

LAURSON Mikael. PWConstraints. In G. Haus and I. Pighi, editors, X Colloquio di Informatica Musicale, pages 332–335, 1993.

LAURSON Mikael; KUUSKANKARE Mika; KUITUNEN Kimmo. Introduction to computer-assisted music analysis in PWGL. In Sound and Music Computing "™05, 2005.

LAURSON Mikael; NORILO Vesa; KUUSKANKARE Mika. PWGLSynth: A Visual Synthesis Language for Virtual Instrument Design and Control. Computer Music Journal, Vol. 29, No. 3, 29–41, 2005. DOI: https://doi.org/10.1162/0148926054798223

LAURSON Mikael; KUUSKANKARE Mika; KUITUNEN Kimmo. The Visualization of Com-puter-assisted Music Analysis Information in PWGL. Journal of New Music Research, Vol. 37, No. 1, 61–76, 2008. DOI: https://doi.org/10.1080/09298210802259595

LAURSON Mikael; KUUSKANKARE Mika; NORILO Vesa. An Overview of PWGL, a Visual Programming Environment for Music. Computer Music Journal, Vol. 33, No. 1, 19–31, 2009. DOI: https://doi.org/10.1162/comj.2009.33.1.19

NIENHUYS Han-Wen; NIEUWENHUIZEN Jan. LilyPond, a system for automated music en-graving. In XIV Colloquium on Musical Informatics (XIV CIM 2003), 2003.

PUCKETTE Miller. Using Pd as a score language. In Proceedings of International Computer Mu-sic Conference, pages 184–187, 2002.

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Publicado

2022-04-30

Cómo citar

Kuuskankare, M. (2022). Real-time Analysis of Interactive Scores in PWGL. Revista Vórtex, 10(1). https://doi.org/10.33871/23179937.2022.10.1.4

Número

Vol. 10 Núm. 1 (2022): Revista Vórtex

Sección

Dossier "18th Brazilian Symposium on Computer Music"

Licencia

Derechos de autor 2022 Mika Kuuskankare

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.

Los autores conservan los derechos de autor y conceden a la revista el derecho de primera publicación, con el trabajo simultáneamente bajo la licencia Creative Commons Attribution Licence que permite compartir el trabajo con reconocimiento de autoría y publicación inicial en esta revista.

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