Detail publikace

Application of Computational Methods for Comparative Music Analysis

IŠTVÁNEK, M. MIKLÁNEK, Š. MÜHLOVÁ, K. SPURNÝ, L. SMÉKAL, Z.

Originální název

Application of Computational Methods for Comparative Music Analysis

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

music information retrieval; music performance analysis; computational musicology; synchronization; software

Autoři

IŠTVÁNEK, M.; MIKLÁNEK, Š.; MÜHLOVÁ, K.; SPURNÝ, L.; SMÉKAL, Z.

Vydáno

4. 12. 2023

Nakladatel

IEEE

Místo

Pisa, Itálie

ISBN

979-8-3503-8254-9

Kniha

Proceedings of the 4th International Symposium on the Internet of Sounds 2023

Strany od

1

Strany do

6

Strany počet

6

URL

https://ieeexplore.ieee.org/document/10335098

BibTex

@inproceedings{BUT185734,
  author="Matěj {Ištvánek} and Štěpán {Miklánek} and Klára Hedvika {Mühlová} and Lubomír {Spurný} and Zdeněk {Smékal}",
  title="Application of Computational Methods for Comparative Music Analysis",
  booktitle="Proceedings of the 4th International Symposium on the Internet of Sounds 2023",
  year="2023",
  pages="6",
  publisher="IEEE",
  address="Pisa, Itálie",
  doi="10.1109/IEEECONF59510.2023.10335098",
  isbn="979-8-3503-8254-9",
  url="https://ieeexplore.ieee.org/document/10335098"
}