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

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F23%3A00134454" target="_blank" >RIV/00216224:14210/23:00134454 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26220/23:PU147878
Result on the web
<a href="https://www.mdpi.com/2076-3417/13/6/3603" target="_blank" >https://www.mdpi.com/2076-3417/13/6/3603</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app13063603" target="_blank" >10.3390/app13063603</a>

Result language
angličtina
Original language name
Classification of Interpretation Differences in String Quartets Based on the Origin of Performers
Original language description
Music 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, for example, 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.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
20202 - Communication engineering and systems

Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

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

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