Audio cover song identification and similarity: background, approaches, evaluation, and beyond

TitleAudio cover song identification and similarity: background, approaches, evaluation, and beyond
Publication TypeBook Chapter
Year of Publication2010
AuthorsSerrà, J., Gómez E., & Herrera P.
EditorRas, Z. W., & Wieczorkowska A. A.
Book TitleAdvances in Music Information Retrieval
PublisherSpringer-Verlag Berlin / Heidelberg
Volume274
Pages307-332
Chapter14
Series EditorKacprzyk, J.
Series TitleStudies in Computational Intelligence
ISBN Number978-3-642-11673-5
ISBN1860-949X
AbstractA cover version is an alternative rendition of a previously recorded song. Given that a cover may differ from the original song in timbre, tempo, structure, key, arrangement, or language of the vocals, automatically identifying cover songs in a given music collection is a rather difficult task. The music information retrieval (MIR) community has paid much attention to this task in recent years and many approaches have been proposed. This chapter comprehensively summarizes the work done in cover song identification while encompassing the background related to this area of research. The most promising strategies are reviewed and qualitatively compared under a common framework, and their evaluation methodologies are critically assessed. A discussion on the remaining open issues and future lines of research closes the chapter.
NotesPlease note that the PDF linked here is a preliminary draft. You can access the final revised version through Springerlink: http://www.springerlink.com/content/a02r21125nw63551/
Published documentfiles/projectsweb/jserra10coveridreview.pdf
DOI10.1007/978-3-642-11674-2_14
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