Text boundaries do not provide a better segmentation of Gregorian antiphons

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985921%3A_____%2F23%3A00577928" target="_blank" >RIV/67985921:_____/23:00577928 - isvavai.cz</a>
Alternative codes found
RIV/00216208:11320/23:10475956
Result on the web
<a href="https://doi.org/10.1145/3625135.3625143" target="_blank" >https://doi.org/10.1145/3625135.3625143</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/3625135.3625143" target="_blank" >10.1145/3625135.3625143</a>

Result language
angličtina
Original language name
Text boundaries do not provide a better segmentation of Gregorian antiphons
Original language description
It has been previously proposed that syllable and word boundaries in Gregorian chant texts can be used to segment chant melodies in a more meaningful way than segmentation methods that do not take textual information into account, based on how accurately the mode of a melody can be determined from the presence of such melodic segments. This was evidenced by empirical measurements on antiphons and responsories with fully transcribed melodies available from the Cantus database. We show that for antiphons, however, this result does not hold, as in these experiments, differentiae were not removed from the transcribed melodies. With appropriate data cleaning, the modality of a melody can be determined from segments that ignore textual boundaries just as accurately, and the resulting classification scores are not significantly better than those obtained from pitch profiles. Thus, while the idea is clearly attractive, there is currently no reason to suspect that textual boundaries lead to a more meaningful segmentation of chant melodies.
Czech name
—
Czech description
—

Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
60403 - Performing arts studies (Musicology, Theater science, Dramaturgy)

Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
DLfM ’23: Proceedings of the 10th International Conference on Digital Libraries for Musicology
ISBN
979-8-4007-0833-6
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
72-76
Publisher name
Association for Computing Machinery
Place of publication
New York
Event location
Milan
Event date
Nov 10, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001139082400011

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