Gregorian melody, modality, and memory: Segmenting chant with Bayesian nonparametrics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511612" target="_blank" >RIV/00216208:11320/25:10511612 - isvavai.cz</a>
Result on the web
<a href="https://zenodo.org/records/17811449" target="_blank" >https://zenodo.org/records/17811449</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5281/zenodo.17811449" target="_blank" >10.5281/zenodo.17811449</a>

Result language
angličtina
Original language name
Gregorian melody, modality, and memory: Segmenting chant with Bayesian nonparametrics
Original language description
The idea that Gregorian melodies are constructed from some vocabulary of segments has long been a part of chant scholarship. This so-called "centonisation" theory has received much musicological criticism, but frequent re-use of certain melodic segments has been observed in chant melodies, and the intractable number of possible segmentations allowed the option that some undiscovered segmentation exists that will yet prove the value of centonisation, and recent empirical results have shown that segmentations can outperform music-theoretical features in mode classification. Inspired by the fact that Gregorian chant was memorised, we search for an optimal unsupervised segmentation of chant melody using nested hierarchical Pitman-Yor language models. The segmentation we find achieves state-of-the-art performance in mode classification. Modeling a monk memorising the melodies from one liturgical manuscript, we then find empirical evidence for the link between mode classification and memory efficiency, and
Czech name
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Czech description
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Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project
<a href="/en/project/EH23_025%2F0008691" target="_blank" >EH23_025/0008691: Human-centred AI for a Sustainable and Adaptive Society</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 26th Conference of the International Society for Music Information Retrieval
ISBN
978-1-73272-995-7
ISSN
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e-ISSN
—
Number of pages
9
Pages from-to
638-646
Publisher name
Zenodo
Place of publication
Geneva, Switzerland
Event location
Daejeon, Korea
Event date
Sep 21, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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