[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.33851/JMIS.2022.9.1.69

Salient Chromagram Extraction Based on the Savitzky-Golay Filter for Cover Song Identification

Seo, Jin Soo (Department of Electrical Engineering, Gangneung-Wonju National University)

Publication Information

Journal of Multimedia Information System / v.9, no.1, 2022 , pp. 69-72 More about this Journal

Abstract

Extraction of a salient chromagram is utmost important for cover song identification. Cover song refers to a live performance, a remix, or a new recording of a previously recorded track. This paper utilizes the Savitzky-Golay filters in chromagram extraction for suppressing timber-related components of a music signal, which is not preserved while generating cover songs. By removing the timber-related components, the discriminative tonal components, which are conducive for cover song identification, are emphasized in chromagram. Experiments on cover song identification over two datasets show that the Savitzky-Golay filters are more effective in reducing timber effects in chromagram than other types of filters.

Keywords

Savitzky-Golay Filter; Chromagram; Cover Song;

Citations & Related Records

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