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

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.