Detail publikace

Exploring the Possibilities of Automated Annotation of Classical Music with Abrupt Tempo Changes

IŠTVÁNEK, M. MIKLÁNEK, Š.

Originální název

Exploring the Possibilities of Automated Annotation of Classical Music with Abrupt Tempo Changes

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this paper, we introduce options for automatic measure detection based on synchronization, beat detection, and downbeat detection strategy. We evaluate proposed methods on two motifs from the dataset of Leoš Janáček's string quartet music. We use specific user-driven metrics to capture annotation efficiency simulating a scenario where a musicologist has to use the output of an automated system to create ground-truth annotations on given recordings. In the case of the first motif, synchronization outperformed other methods by detecting most of the measure positions correctly. This procedure was also the most suitable for the second motif—it achieved a low number of correct detections, but the vast majority of transferred time positions belonged within the outer tolerance window. Therefore, in most cases, only shifting operations were needed resulting in higher annotation efficiency. Results suggest that the state-of-the-art downbeat tracking is not yet efficient for expressive music.

Klíčová slova

beat tracking; classical music; downbeat detection; DTW; music information retrieval; music performance analysis; synchronization

Autoři

IŠTVÁNEK, M.; MIKLÁNEK, Š.

Vydáno

26. 4. 2022

Nakladatel

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Místo

Brno

ISBN

978-80-214-6030-0

Kniha

Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected Papers

Edice

1

Strany od

286

Strany do

290

Strany počet

5

URL

BibTex

@inproceedings{BUT177834,
  author="Matěj {Ištvánek} and Štěpán {Miklánek}",
  title="Exploring the Possibilities of Automated Annotation of Classical Music with Abrupt Tempo Changes",
  booktitle="Proceedings II of the 28th Conference STUDENT EEICT 2022 Selected Papers",
  year="2022",
  series="1",
  pages="286--290",
  publisher="Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií",
  address="Brno",
  isbn="978-80-214-6030-0",
  url="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3.pdf"
}