Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
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
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_2_v3.pdf
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" }