• DocumentCode
    1091986
  • Title

    Exploring Music Collections in Virtual Landscapes

  • Author

    Knees, Peter ; Schedl, Markus ; Pohle, Tim ; Widmer, Gerhard

  • Author_Institution
    Johannes Kepler Univ. Linz, Linz
  • Volume
    14
  • Issue
    3
  • fYear
    2007
  • Firstpage
    46
  • Lastpage
    54
  • Abstract
    A user interface to music repositories called nepTune creates a virtual landscape for an arbitrary collection of digital music files, letting users freely navigate the collection. Automatically extracting features from the audio signal and clustering the music pieces accomplish this. The clustering helps generate a 3D island landscape. The rapidly growing research field of music information retrieval is developing the technological foundations for a new generation of more intelligent music devices and services. Researchers are creating algorithms for audio and music analysis, studying methods for retrieving music-related information from the Internet, and investigating scenarios for using music-related information for novel types of computer-based music services. The range of applications for such technologies is broad - from automatic music recommendation services through personalized, adaptive radio stations, to novel types of intelligent, reactive musical devices and environments.
  • Keywords
    Internet; audio signal processing; electronic music; feature extraction; information filtering; music; user interfaces; virtual reality; 3D island landscape; Internet; audio signal processing; automatic music recommendation service; digital music file; feature extraction; intelligent computer-based music service; intelligent music device; music collection exploration; music information retrieval; music piece clustering; music repository; nepTune user interface; virtual landscape; Algorithm design and analysis; Clustering algorithms; Data mining; Feature extraction; Information analysis; Multiple signal classification; Music information retrieval; Navigation; User interfaces; Web and internet services; Web mining; clustering; music information retrieval; music similarity; user interfaces; visualization;
  • fLanguage
    English
  • Journal_Title
    MultiMedia, IEEE
  • Publisher
    ieee
  • ISSN
    1070-986X
  • Type

    jour

  • DOI
    10.1109/MMUL.2007.48
  • Filename
    4287416