Enhancement of Conventional Beat Tracking System Using 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%2F20%3APU134744" target="_blank" >RIV/00216305:26220/20:PU134744 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2076-3417/10/1/379" target="_blank" >https://www.mdpi.com/2076-3417/10/1/379</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/app10010379" target="_blank" >10.3390/app10010379</a>
Alternative languages
Result language
angličtina
Original language name
Enhancement of Conventional Beat Tracking System Using Teager–Kaiser Energy Operator
Original language description
Beat detection systems are widely used in the music information retrieval (MIR) research field for the computation of tempo and beat time positions in audio signals. One of the most important parts of these systems is usually onset detection. There is an understandable tendency to employ the most accurate onset detector. However, there are options to increase the global tempo (GT) accuracy and also the detection accuracy of beat positions at the expense of less accurate onset detection. The aim of this study is to introduce an enhancement of a conventional beat detector. The enhancement is based on the Teager–Kaiser energy operator (TKEO), which pre-processes the input audio signal before the spectral flux calculation. The proposed approach is first evaluated in terms of the ability to estimate the GT and beat positions accuracy of given audio tracks compared to the same conventional system without the proposed enhancement. The accuracy of the GT and average beat differences (ABD) estimation is tested on the manually labelled reference database. Finally, this system is used for analysis of a string quartet music database. Results suggest that the presence of the TKEO lowers onset detection accuracy but also increases the GT and ABD estimation. The average deviation from the reference GT in the reference database is 9.99 BPM (11.28%), which improves the conventional methodology, where the average deviation is 18.19 BPM (17.74%). This study has a pilot character and provides some suggestions for improving the beat tracking system for music analysis.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
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
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Applied Sciences - Basel
ISSN
2076-3417
e-ISSN
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Volume of the periodical
10
Issue of the periodical within the volume
1
Country of publishing house
CH - SWITZERLAND
Number of pages
20
Pages from-to
1-20
UT code for WoS article
000509398900379
EID of the result in the Scopus database
2-s2.0-85079286898