The Application of Tempo Calculation for Musicological Purposes

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU141087" target="_blank" >RIV/00216305:26220/21:PU141087 - isvavai.cz</a>

Výsledek na webu

<a href="https://conf.feec.vutbr.cz/" target="_blank" >https://conf.feec.vutbr.cz/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

The Application of Tempo Calculation for Musicological Purposes

Popis výsledku v původním jazyce

Beat tracking systems capture time positions of beats within digital recordings. They are used, for example, in streaming portals, but applications in the musicological analysis are often neglected. In this article, two different methods of beat tracking systems are tested—conventional and the state-of-the-art—on the specific motif of a string quartet music, which is one of the most complex tasks for beat detectors in general. The aim here is to determine which system is better for musicology purposes. This often involves determining not only the position of individual beats and estimating the tempo but also the accuracy of determining their number. Evaluation analysis may be suitable for comparing the accuracy of detectors, but may not necessarily reflect the requirements of musicological analysis. The results of selected detectors show that a system based on a recurrent neural network seems to be the most suitable.

Název v anglickém jazyce

The Application of Tempo Calculation for Musicological Purposes

Popis výsledku anglicky

Beat tracking systems capture time positions of beats within digital recordings. They are used, for example, in streaming portals, but applications in the musicological analysis are often neglected. In this article, two different methods of beat tracking systems are tested—conventional and the state-of-the-art—on the specific motif of a string quartet music, which is one of the most complex tasks for beat detectors in general. The aim here is to determine which system is better for musicology purposes. This often involves determining not only the position of individual beats and estimating the tempo but also the accuracy of determining their number. Evaluation analysis may be suitable for comparing the accuracy of detectors, but may not necessarily reflect the requirements of musicological analysis. The results of selected detectors show that a system based on a recurrent neural network seems to be the most suitable.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2021

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Proceedings II of the 27th Conference STUDENT EEICT 2021

ISBN

978-80-214-5943-4

ISSN

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e-ISSN

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Počet stran výsledku

5

Strana od-do

265-269

Název nakladatele

Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

27. 4. 2021

Typ akce podle státní příslušnosti

CST - Celostátní akce

Kód UT WoS článku

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