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Chant editing and analysis program: a tool for analyzing liturgical chant

  • Emma C Hornby
  • , Rebecca Maloy*
  • , Paul A Rouse
  • *Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

4 Citations (Scopus)
147 Downloads (Pure)

Abstract

Until recently, Old Hispanic chant was rarely subjected to close musical analysis, in part because it is preserved in unpitched notation. Although we can read the contours of the melodies—the up and down movements—they cannot be reliably transcribed into modern notation. This paper introduces the Chant Editing and Analysis Program and shows how it facilitates analysis of the repertory.
Original languageEnglish
Pages (from-to)82-95
Number of pages14
JournalJournal of Medieval Iberian Studies
Volume14
Issue number1
Early online date22 Feb 2022
DOIs
Publication statusE-pub ahead of print - 22 Feb 2022

Bibliographical note

Funding Information:
All of our approximate-matching algorithms depend on putting a numerical value, or “score,” reflecting the degree of agreement or disagreement between two notes. We are now revising the way this is done, using a fundamentally different approach with a new theoretical basis. This is motivated by algorithms we have recently implemented in separate programs to identify patterns automatically that occur several times, either within the same chant or across several chants. We are also examining ways of codifying radically different styles of unpitched neumes as part of a pilot project funded by a Leverhulme/British Academy Small Grant (2020–2022). This collaboration with Ekaterine Oniani and Tamar Chkheidze (Vano Sarajisvili Tbilisi State Conservatoire) explores whether there are any parallels in how chants were built between two widely different liturgical traditions, in this case the Georgian and the Old Hispanic.

Funding Information:
This work was supported by Arts and Humanities Research Council: [grant number AH/P002757/1,AH/S006060/1]; Seventh Framework Programme: [grant number 313133].

Publisher Copyright:
© 2022 Informa UK Limited, trading as Taylor & Francis Group.

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