KSQuant - Complex Score Manipulation in PWGL through Quantization

  • Kilian Sprotte
  • Mikael Laurson
  • Mika Kuuskankare
Conference paper

DOI: 10.1007/978-3-642-02518-1_18

Part of the Lecture Notes in Computer Science book series (LNCS, volume 5493)
Cite this paper as:
Sprotte K., Laurson M., Kuuskankare M. (2009) KSQuant - Complex Score Manipulation in PWGL through Quantization. In: Ystad S., Kronland-Martinet R., Jensen K. (eds) Computer Music Modeling and Retrieval. Genesis of Meaning in Sound and Music. CMMR 2008. Lecture Notes in Computer Science, vol 5493. Springer, Berlin, Heidelberg

Abstract

This paper presents the recent developments dealing with our metrical score representation format and how it can be used to produce and manipulate musical scores in PWGL. The base of these ideas is a special score format, called ENP-score-notation, that allows to describe in textual form various score elements like beats, measures, voices and parts. This basic format can be extended using keywords to represent other score attributes such as pitch, enharmonics, expressions, and so on, resulting in complete scores. A novel PWGL library, KSQuant, uses a similar format: instead of the tree-based representation of the metric structure, KSQuant uses a flat onset-time representation. This format is ideal for many types of score manipulation operations where it is essential to preserve all score attributes.

Keywords

score manipulation quantization computer-aided composition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Kilian Sprotte
    • 1
  • Mikael Laurson
    • 2
  • Mika Kuuskankare
    • 2
  1. 1.MKTTU BerlinBerlinGermany
  2. 2.Center for Music and TechnologySibelius AcademyHelsinkiFinland

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