• DocumentCode
    2958378
  • Title

    Enhancing SOM digital music archives using Scatter-Gather

  • Author

    Azcarraga, Arnulfo P. ; Caw, Aldrirch C.

  • Author_Institution
    De La Salle Univ., Manila
  • fYear
    2008
  • fDate
    1-8 June 2008
  • Firstpage
    1833
  • Lastpage
    1839
  • Abstract
    The MarB system is a digital archive of music files that are clustered and laid out as a self-organized map, following the SOM methodology for large digital archives. The system has the usual music archive features as follows: 1) automatic clustering and organization of music files into ldquoislands of related musicrdquo; 2) classification of music clusters into various music genres; 3) playback of music files selected by the user; and 4) automatic generation of related music files for every music file that is chosen. In addition to these rather common features found in most self-organizing maps (SOM) based digital music archives, MarB also allows for an interactive selection and clustering of sets and subsets of music files until a specific music file is found. This is done using a Scatter/Gather interface that allows the user to select interesting clusters of music files (gather mode), which are then re-organized and re-clustered (scatter mode) for the user to visually inspect and possibly listen to. The user is then asked to select new interesting clusters (gather mode again). This alternating selection and re-clustering process continues until the user chooses a specific music file, and is provided with a set of most related music files. A novel album dispersal measure is used to objectively assess the quality of the clusters produced both by the SOM and the special k -means algorithm employed in the Scatter-Gather module.
  • Keywords
    file organisation; information retrieval systems; music; self-organising feature maps; SOM digital music archives; Scatter-Gather module; automatic clustering; automatic generation; music files organization; self-organized map; Neural networks; Scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1098-7576
  • Print_ISBN
    978-1-4244-1820-6
  • Electronic_ISBN
    1098-7576
  • Type

    conf

  • DOI
    10.1109/IJCNN.2008.4634047
  • Filename
    4634047