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

Title Audio cover song identification and similarity: background, approaches, evaluation, and beyond
Publication Type Book Chapter
Year of Publication 2010
Authors Serrà, J. , Gómez E. , & Herrera P.
Editor Ras, Z. W. , & Wieczorkowska A. A.
Book Title Advances in Music Information Retrieval
Publisher Springer-Verlag Berlin / Heidelberg
Volume 274
Pages 307-332
Chapter 14
Series Editor Kacprzyk, J.
Series Title Studies in Computational Intelligence
ISBN 1860-949X
ISBN Number 978-3-642-11673-5
Abstract A 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.
Notes Please 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/
preprint/postprint document files/projectsweb/jserra10coveridreview.pdf
Final publication 10.1007/978-3-642-11674-2_14