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On Musical Onset Detection via the S-Transform
Sheffield Hallam Univ, Dept Engn & Math, Sheffield, S Yorkshire, England..
Univ Moratuwa, Dept Elect & Telecomm Engn, Moratuwa, Sri Lanka..
KTH, School of Electrical Engineering and Computer Science (EECS), Network and Systems engineering.ORCID iD: 0000-0001-9810-3478
2018 (English)In: 2018 CONFERENCE RECORD OF 52ND ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS / [ed] Matthews, M B, IEEE , 2018, p. 1080-1085Conference paper, Published paper (Refereed)
Abstract [en]

Musical onset detection is a key component in any beat tracking system. Existing onset detection methods are based on temporal/spectral analysis, or methods that integrate temporal and spectral information together with statistical estimation and machine learning models. In this paper, we propose a method to localize onset components in music by using the S-transform, and thus, the method is purely based on temporal/spectral data. Unlike the other methods based on temporal/spectral data, which usually rely on the short time Fourier transform (STET), our method enables effective isolation of crucial frequency subbands due to the frequency dependent resolution of S-transform. Moreover, numerical results show, even with less computationally intensive steps, the proposed method can closely resemble the performance of more resource intensive statistical estimation based approaches.

Place, publisher, year, edition, pages
IEEE , 2018. p. 1080-1085
Series
Conference Record of the Asilomar Conference on Signals Systems and Computers, ISSN 1058-6393
Keywords [en]
Onset detection, beat tracking, music, S-transform, time frequency representation
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:kth:diva-252675ISI: 000467845100190ISBN: 978-1-5386-9218-9 (print)OAI: oai:DiVA.org:kth-252675DiVA, id: diva2:1319756
Conference
52nd Asilomar Conference on Signals, Systems, and Computers, OCT 28-NOV 01, 2018, Pacific Grove, CA
Note

QC 20190603

Available from: 2019-06-03 Created: 2019-06-03 Last updated: 2019-06-03Bibliographically approved

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Fischione, Carlo

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CiteExportLink to record
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  • de-DE
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Output format
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