Enhancement of Beat Tracking in String Quartet Music Analysis Based on the Teager-Kaiser Energy Operator
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU132906" target="_blank" >RIV/00216305:26220/19:PU132906 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/8769118" target="_blank" >https://ieeexplore.ieee.org/document/8769118</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2019.8769118" target="_blank" >10.1109/TSP.2019.8769118</a>
Alternative languages
Result language
angličtina
Original language name
Enhancement of Beat Tracking in String Quartet Music Analysis Based on the Teager-Kaiser Energy Operator
Original language description
Beat detection systems are widely used in music information retrieval (MIR) research field for the computation of tempo and beat positions in audio signals. One of the most important parts of these systems is the onset detection function. The aim of this study is to introduce an enhancement of a conventional onset detector and employ it in a beat tracking system that could be utilized for an analysis of interpretation and performance changes in string quartets. The enhancement is based on the Teager-Kaiser energy operator (TKEO), which pre-processes input audio signal before spectral flux calculation. The proposed approach is firstly evaluated in terms of ability to estimate global tempo (GT) of a given audio track. Next, the accuracy of the GT estimation is compared with a manually-labelled reference dataset. Then, this system was tested on the first motif of the string quartet database. Results suggest that the TKEO could improve accuracy of the GT estimation. Average deviation from the reference tempo in the string quartet is 8.29%, which slightly improves the conventional methodology, where the deviance is 8.96%. This study has a pilot character and provides some suggestions of the beat tracking system enhancement.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/LO1401" target="_blank" >LO1401: Interdisciplinary Research of Wireless Technologies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
42nd International Conference on Telecommunications and Signal Processing (TSP)
ISBN
978-1-7281-1864-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
351-354
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Budapest, Hungary
Event date
Jul 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000493442800076