Adaptive music retrieval---a state of the art

  • Authors:
  • Sebastian Stober;Andreas Nürnberger

  • Affiliations:
  • Data & Knowledge Engineering Group, Faculty of Computer Science, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany 39106;Data & Knowledge Engineering Group, Faculty of Computer Science, Otto-von-Guericke-University Magdeburg, Magdeburg, Germany 39106

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2013

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Abstract

With the development of more and more sophisticated Music Information Retrieval approaches, aspects of adaptivity are becoming an increasingly important research topic. Even though, adaptive techniques have already found their way into Music Information Retrieval systems and contribute to robustness or user satisfaction they are not always identified as such. This paper attempts a structured view on the last decade of Music Information Retrieval research from the perspective of adaptivity in order to increase awareness and promote the application and further development of adaptive techniques. To this end, different approaches from a wide range of application areas that share the common aspect of adaptivity are identified and systematically categorized.