Research Commons
      • Browse 
        • Communities & Collections
        • Titles
        • Authors
        • By Issue Date
        • Subjects
        • Types
        • Series
      • Help 
        • About
        • Collection Policy
        • OA Mandate Guidelines
        • Guidelines FAQ
        • Contact Us
      • My Account 
        • Sign In
        • Register
      View Item 
      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computing and Mathematical Sciences Papers
      • View Item
      •   Research Commons
      • University of Waikato Research
      • Computing and Mathematical Sciences
      • Computing and Mathematical Sciences Papers
      • View Item
      JavaScript is disabled for your browser. Some features of this site may not work without it.

      Searching digital music libraries

      Bainbridge, David; Dewsnip, Michael; Witten, Ian H.
      Thumbnail
      Files
      searching digital music libraries.pdf
      210.0Kb
      DOI
       10.1016/j.ipm.2004.04.001
      Link
       www.sciencedirect.com
      Find in your library  
      Citation
      Export citation
      Bainbridge, D., Dewsnip, M. & Witten, I. H. (2005). Searching digital music libraries. Information Processing & Management, 41(1), 41-56.
      Permanent Research Commons link: https://hdl.handle.net/10289/1299
      Abstract
      There has been a recent explosion of interest in digital music libraries. In particular, interactive melody retrieval is a striking example of a search paradigm that differs radically from the standard full-text search. Many different techniques have been proposed for melody matching, but the area lacks standard databases that allow them to be compared on common grounds––and copyright issues have stymied attempts to develop such a corpus. This paper focuses on methods for evaluating different symbolic music matching strategies, and describes a series of experiments that compare and contrast results obtained using three dominant paradigms. Combining two of these paradigms yields a hybrid approach which is shown to have the best overall combination of efficiency and effectiveness.
      Date
      2005
      Type
      Journal Article
      Publisher
      Elsevier B.V.
      Rights
      This is an author’s version of an article published in the journal Information Processing & Management, Copyright © 2005 Published by Elsevier Ltd.
      Collections
      • Computing and Mathematical Sciences Papers [1455]
      Show full item record  

      Usage

      Downloads, last 12 months
      98
       
       
       

      Usage Statistics

      For this itemFor all of Research Commons

      The University of Waikato - Te Whare Wānanga o WaikatoFeedback and RequestsCopyright and Legal Statement