dc.contributor.author
Caro Repetto, Rafael
dc.contributor.author
Zhang, Shuo
dc.contributor.author
Serra, Xavier
dc.date.issued
2017-10-10T17:43:42Z
dc.date.issued
2017-10-10T17:43:42Z
dc.identifier
Caro Repetto R, Zhang S, Serra X. Quantitative analysis of the relationship between linguistic tones and melody in jingju using music scores. In: DLfM '17 Proceedings of the 4th International Workshop on Digital Libraries for Musicology; 2017 Oct 28; Shanghai, China. New York: ACM; 2017. p. 41-4. DOI: 10.1145/3144749.3144758
dc.identifier
978-1-4503-5347-2
dc.identifier
http://hdl.handle.net/10230/32911
dc.identifier
http://dx.doi.org/10.1145/3144749.3144758
dc.description.abstract
Comunicació presentada a: 4th International Digital Libraries for Musicology workshop (DLfM 2017), celebrat el 28 d'octubre de 2017 a Shanghai, Xina.
dc.description.abstract
When lyrics of tonal languages are set to music, the pitch contour of the tones has to agree to a certain extent with the melodic contour to assure intelligibility. The relationship between the linguistic tones of the complex dialectal construct used in jingju (commonly known as Beijing or Peking opera) and its melody has been largely studied, but not definite consensus has been achieved among scholars. After reviewing the related literature, we present a first approach for the quantitative analysis of the relationship between linguistic tones and melody in jingju using a collection of machine readable music scores with tone category annotations for 7,283 syllables. We describe two statistical analyses performed in this collection regarding the melodic contour for each syllable and the pitch height relationship in 5,494 pairs of consecutive syllables. We argue that the obtained results contribute to supporting claims from the literature and complementing others, although some limitations of the approach might nuance the confidence of their validity.
dc.description.abstract
This research is funded by the European Research Council under the European Union’s Seventh Framework Program, as part of the CompMusic project (ERC grant agreement 267583).
dc.format
application/pdf
dc.format
application/pdf
dc.publisher
ACM Association for Computer Machinery
dc.relation
DLfM '17 Proceedings of the 4th International Workshop on Digital Libraries for Musicology; 2017 Oct 28; Shanghai, China. New York: ACM; 2017. p. 41-4.
dc.relation
info:eu-repo/grantAgreement/EC/FP7/267583
dc.rights
info:eu-repo/semantics/openAccess
dc.subject
Chinese linguistic tones
dc.subject
Music scores analysis
dc.subject
Corpusdriven research
dc.title
Quantitative analysis of the relationship between linguistic tones and melody in jingju using music scores
dc.type
info:eu-repo/semantics/conferenceObject
dc.type
info:eu-repo/semantics/acceptedVersion