Encoding Scores for Electronic Music

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Título: Encoding Scores for Electronic Music
Autor/es: Zwißler, Florian | Schwarzbauer, Philip | Oehler, Michael
Palabras clave: Music encoding | Scores | Electronic music
Área/s de conocimiento: Lenguajes y Sistemas Informáticos | Música
Fecha de publicación: 18-may-2022
Editor: Universidad de Alicante
Cita bibliográfica: Zwißler, Florian; Schwarzbauer, Philip; Oehler, Michael. “Encoding Scores for Electronic Music”. In: Münnich, Stefan; Rizo, David (Eds.). Music Encoding Conference Proceedings 2021, 19–22 July, 2021 University of Alicante (Spain): Onsite & Online. Alicante: Universidad de Alicante, 2022. ISBN 978-84-1302-173-7, pp. 189-196
Resumen: A perspective on the specific issues of music encoding dealing with Electronic Music is presented. In many cases the works to be discussed exist in a fixed media format and hence no prescriptive score is necessary to facilitate a ‘valid’ performance. While there are a number of descriptive scores for pieces of Electronic Music, these are to be treated differently, as they are purely aimed at analysis and therefore contain a certain information bias. Data that is more comparable to instrumental scores is contained in rare examples of so-called realization scores. It is argued that these realization scores can be identified as the main subject for encoding of Electronic Music works. For this we will discuss an example from one such score by Karlheinz Stockhausen. For his piece KONTAKTE, Stockhausen released a realization score that unfolds a very detailed documentation of all steps made within the studio production of that work, including the complex patching of studio devices and the specific transformation processes achieved by the use of tape machines. The paper presents an approach to formalize and encode all these steps within the framework of a semantic database. Using technology like the semantic web standard, Linked Data and the corresponding RDF/OWL framework, an Electronic Music production setup and its usage can be encoded, stored, and analyzed.
Patrocinador/es: This work was supported by the German Research Foundation (DFG) within the PRESET project (grant number 424734041).
URI: http://hdl.handle.net/10045/123644
ISBN: 978-84-1302-173-7
Idioma: eng
Tipo: info:eu-repo/semantics/conferenceObject
Derechos: Published in 2022 with Humanities Commons under a CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) license.
Revisión científica: si
Versión del editor: http://hdl.handle.net/10045/123637
Aparece en las colecciones:Music Encoding Conference 2021 - Proceedings

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