Abstract
Traditionally, electronically searching for music, whether in collections of thousands (private collections) or millions of tracks (digital music resellers), is basically a database lookup task based on meta-data. For indexing a collection, existing music retrieval systems make use of arbitrarily assigned and subjective meta-information like genre or style in combination with objective meta-data like artist name, album name, track name, record label, or year of release.
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© 2016 Springer-Verlag Berlin Heidelberg
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Knees, P., Schedl, M. (2016). Introduction to Music Similarity and Retrieval. In: Music Similarity and Retrieval. The Information Retrieval Series, vol 36. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49722-7_1
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DOI: https://doi.org/10.1007/978-3-662-49722-7_1
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Publisher Name: Springer, Berlin, Heidelberg
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Online ISBN: 978-3-662-49722-7
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