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      Playing in Time: Integrating Temporal Information in the Computational Measurement of Musical Similarity

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      Journal of Creative Music Systems
      University of Huddersfield Press

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          Abstract

          In this article we discuss the importance of temporal information in assessing musical similarity and we present a content-based approach that emphasizes the sequential repetition of perceptually relevant, expressive musical features. To examine these approaches, we implemented three previously proposed MFCC-based music similarity assessment systems and compared their results with those obtained from the proposed new system. We employed human listeners to provide a “ground-truth” assessment of musical similarity for a body of 60 songs spanning 14 musical styles. Analysis of this body of music by the four methods showed higher correlation of human listener similarity assessments with the machine results for the ordering of musical features has the potential to increase performance of music similarity models.

          Author and article information

          Journal
          Journal of Creative Music Systems
          University of Huddersfield Press
          2399-7656
          September 1 2016
          September 1 2016
          : 1
          : 1
          Article
          10.5920/jcms.2016.04
          1e929d2d-85eb-4637-9c02-36aceea84770
          © 2016

          JCMS provides free online access to its content. The work is published under a Creative Commons license, which provides unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view the licenses, visit http://creativecommons.org/licenses/

          History

          Software engineering,Music,Computer science
          Software engineering, Music, Computer science

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