Enhancement of Conventional Beat Tracking System Using Teager–Kaiser Energy Operator

Simple item page
dc.contributor.authorIštvánek, Matějcs
dc.contributor.authorSmékal, Zdeněkcs
dc.coverage.issue1cs
dc.coverage.volume10cs
dc.date.accessioned2020-01-16T11:53:53Z
dc.date.available2020-01-16T11:53:53Z
dc.date.issued2020-01-04cs
dc.description.abstractBeat 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.en
dc.formattextcs
dc.format.extent1-20cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationApplied Sciences - Basel. 2020, vol. 10, issue 1, p. 1-20.en
dc.identifier.doi10.3390/app10010379cs
dc.identifier.issn2076-3417cs
dc.identifier.other161159cs
dc.identifier.urihttp://hdl.handle.net/11012/184118
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofApplied Sciences - Baselcs
dc.relation.urihttps://www.mdpi.com/2076-3417/10/1/379cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2076-3417/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectbeat tracking systemen
dc.subjectmusic analysisen
dc.subjectmusic information retrievalen
dc.subjectonset detectionen
dc.subjectspectral fluxen
dc.subjectstring quartet musicen
dc.subjectTeager–Kaiser energy operatoren
dc.titleEnhancement of Conventional Beat Tracking System Using Teager–Kaiser Energy Operatoren
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-161159en
sync.item.dbtypeVAVen
sync.item.insts2020.11.22 00:55:58en
sync.item.modts2020.11.22 00:14:48en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. oddělení-TKO-SIXcs
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
applsci1000379.pdf
Size:
2.37 MB
Format:
Adobe Portable Document Format
Description:
applsci1000379.pdf
Download
Collections
Ústav telekomunikací
oddělení-TKO-SIX