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of the first occurring fragment. As well, eventually, the similarity does not occur by direct repetition, but by presenting in two (or more) set of relations, some common values or patterns. Objective musical similarity can be based on musical features such as:
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is particularly complex because there are numerous dimensions of similarity. If similarity takes place between different fragments from one musical piece, a musical similarity implies a
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Nevertheless, similarity can be based also on less objective features such as musical genre, personal history, social context (e.g. music from the 1960s), and a priori knowledge.
148:, Tomomi Matsui, Antonio Mesa, Yurai Nunez, and David Rappaport, and Godfried T. Toussaint, "Algorithms for computing geometric measures of melodic similarity,"
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analysis has been developed in order to classify music titles for electronic music distribution.
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Introduction to gestural similarity in music. An application of category theory to the orchestra
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On the
Information Geometry of Audio Streams with Applications to Similarity Computing
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Automatic methods of musical similarity detection based on
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Musical Data Mining for
Electronic Music Distribution
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16:Resemblance between musical works
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193:Journal of Mathematics and Music
109:Similarity is relevant also in
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144:Greg Aloupis, Thomas Fevens,
111:music information retrieval
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60:Non-pitched parameters
150:Computer Music Journal
90:structure similarity
83:Semiotic parameters
79:structure similarity
67:structure similarity
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31:Pitched parameters
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214:2014-03-27 at the
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25:repetition
212:Archived
88:Modality
71:Rhythmic
65:Metrical
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54:Timbral
42:Melodic
239:This
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