Application of Computational Methods for Comparative Music Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU149841" target="_blank" >RIV/00216305:26220/23:PU149841 - isvavai.cz</a>
Alternative codes found
RIV/00216224:14210/23:00133255
Result on the web
<a href="https://ieeexplore.ieee.org/document/10335098" target="_blank" >https://ieeexplore.ieee.org/document/10335098</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IEEECONF59510.2023.10335098" target="_blank" >10.1109/IEEECONF59510.2023.10335098</a>
Alternative languages
Result language
angličtina
Original language name
Application of Computational Methods for Comparative Music Analysis
Original language description
Music performance analysis can thrive from computational methods of music information retrieval. Besides extracting and analyzing symbolic music data, performance analysis also focuses on retrieving performance parameters from digital audio recordings. On the other hand, the aim of the comparative performance analysis is often qualitative and stands on our perception and musical principles. In this paper, we utilize feature extraction strategies and comparative analysis, leveraging computational methods while focusing on the goals of musicology. We aim to provide insight into music performance data for subsequent case studies. As the main contribution of this paper, we present a specific combination of extraction methods for performance music analysis on the application level. Furthermore, we demonstrate an early version of open-source software that deploys the proposed strategy in a user-friendly web-based environment.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
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)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 4th International Symposium on the Internet of Sounds 2023
ISBN
979-8-3503-8254-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
1-6
Publisher name
IEEE
Place of publication
Pisa, Itálie
Event location
Pisa
Event date
Oct 26, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001118080300005