Publication detail

Application of Computational Methods for Comparative Music Analysis

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

Original Title

Application of Computational Methods for Comparative Music Analysis

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

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

Released

4. 12. 2023

Publisher

IEEE

Location

Pisa, Itálie

ISBN

979-8-3503-8254-9

Book

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

Pages from

1

Pages to

6

Pages count

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"
}