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A Comparative Analysis of Content-based Music Retrieval Systems

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2013, 30(3), pp.23~48
  • DOI : 10.3743/KOSIM.2013.30.3.023
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : August 1, 2013
  • Accepted : September 10, 2013
  • Published : September 30, 2013

Jung Soon Ro 1

1한남대학교

Accredited

ABSTRACT

This study compared and analyzed 15 CBMR (Content-based Music Retrieval) systems accessible on the web in terms of DB size and type, query type, access point, input and output type, and search functions, with reviewing features of music information and techniques used for transforming or transcribing of music sources, extracting and segmenting melodies, extracting and indexing features of music, and matching algorithms for CBMR systems. Application of text information retrieval techniques such as inverted indexing, N-gram indexing, Boolean search, truncation, keyword and phrase search, normalization, filtering, browsing, exact matching, similarity measure using edit distance, sorting, etc. to enhancing the CBMR; effort for increasing DB size and usability; and problems in extracting melodies, deleting stop notes in queries, and using solfege as pitch information were found as the results of analysis.

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