Classification of Interpretation Differences in String Quartets Based on the Origin of Performers

Simple item page
dc.contributor.authorIštvánek, Matějcs
dc.contributor.authorMiklánek, Štěpáncs
dc.contributor.authorSpurný, Lubomírcs
dc.coverage.issue6cs
dc.coverage.volume13cs
dc.date.issued2023-03-11cs
dc.description.abstractMusic Information Retrieval aims at extracting relevant features from music material, while Music Performance Analysis uses these features to perform semi-automated music analysis. Examples of interdisciplinary cooperation are, e.g., various classification tasks—from recognizing specific performances, musical structures, and composers to identifying music genres. However, some classification problems have not been addressed yet. In this paper, we focus on classifying string quartet music interpretations based on the origin of performers. Our dataset consists of string quartets from composers A. Dvořák, L. Janáček, and B. Smetana. After transferring timing information from reference recordings to all target recordings, we apply feature selection methods to rank the significance of features. As the main contribution, we show that there are indeed origin-based tempo differences, distinguishable by measure durations, by which performances may be identified. Furthermore, we train a machine learning classifier to predict the performers’ origin. We evaluate three different experimental scenarios and achieve higher classification accuracy compared to the baseline using synchronized measure positions.en
dc.formattextcs
dc.format.extent1-20cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationApplied Sciences - Basel. 2023, vol. 13, issue 6, p. 1-20.en
dc.identifier.doi10.3390/app13063603cs
dc.identifier.issn2076-3417cs
dc.identifier.orcid0000-0002-5053-054Xcs
dc.identifier.orcid0000-0002-4561-4677cs
dc.identifier.other183122cs
dc.identifier.researcheridAAF-4860-2019cs
dc.identifier.scopus57210592354cs
dc.identifier.urihttp://hdl.handle.net/11012/213557
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofApplied Sciences - Baselcs
dc.relation.urihttps://www.mdpi.com/2076-3417/13/6/3603cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2076-3417/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectclassificationen
dc.subjectinterpretationen
dc.subjectmachine learningen
dc.subjectmusic analysisen
dc.subjectmusic information retrievalen
dc.subjectoriginen
dc.subjectstring quarteten
dc.subjectsynchronizationen
dc.titleClassification of Interpretation Differences in String Quartets Based on the Origin of Performersen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-183122en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:42:32en
sync.item.modts2025.01.17 19:36:40en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
applsci1303603v2.pdf
Size:
602.03 KB
Format:
Adobe Portable Document Format
Description:
applsci1303603v2.pdf
Download
Collections
Ústav telekomunikací