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@inproceedings{2366018,
author = {Spurný, Lubomír and Mühlová, Klára and Ištvánek, Matěj and Miklánek, Štěpán and Smékal, Zdeněk},
address = {Pisa},
booktitle = {Proceedings of the 4th International Symposium on the Internet of Sounds 2023},
doi = {http://dx.doi.org/10.1109/IEEECONF59510.2023.10335098},
edition = {1.},
keywords = {music information retrieval; music performance analysis; computational musicology; synchronization; software},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Pisa},
isbn = {979-8-3503-8254-9},
pages = {31-36},
publisher = {IEEE},
title = {Application of Computational Methods for Comparative Music Analysis},
url = {https://ieeexplore.ieee.org/document/10335098},
year = {2023}
}
TY - JOUR
ID - 2366018
AU - Spurný, Lubomír - Mühlová, Klára - Ištvánek, Matěj - Miklánek, Štěpán - Smékal, Zdeněk
PY - 2023
TI - Application of Computational Methods for Comparative Music Analysis
PB - IEEE
CY - Pisa
SN - 9798350382549
KW - music information retrieval
KW - music performance analysis
KW - computational musicology
KW - synchronization
KW - software
UR - https://ieeexplore.ieee.org/document/10335098
N2 - 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.
ER -
SPURNÝ, Lubomír, Klára MÜHLOVÁ, Matěj IŠTVÁNEK, Štěpán MIKLÁNEK and Zdeněk SMÉKAL. Application of Computational Methods for Comparative Music Analysis. Online. In \textit{Proceedings of the 4th International Symposium on the Internet of Sounds 2023}. 1st ed. Pisa: IEEE, 2023, p.~31-36. ISBN~979-8-3503-8254-9. Available from: https://dx.doi.org/10.1109/IEEECONF59510.2023.10335098.
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