The need for music information retrieval with user-centered and multimodal strategies

  • Authors:
  • Cynthia C.S. Liem;Meinard Müller;Douglas Eck;George Tzanetakis;Alan Hanjalic

  • Affiliations:
  • Delft University of Technology, Delft, Netherlands;Saarland University & MPI Informatik, Saarbrücken, Germany;Google Inc., Mountain View, CA, USA;University of Victoria, Victoria, Canada;Delft University of Technology, Delft, Netherlands

  • Venue:
  • MIRUM '11 Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies
  • Year:
  • 2011

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Abstract

Music is a widely enjoyed content type, existing in many multifaceted representations. With the digital information age, a lot of digitized music information has theoretically become available at the user's fingertips. However, the abundance of information is too large-scaled and too diverse to annotate, oversee and present in a consistent and human manner, motivating the development of automated Music Information Retrieval (Music-IR) techniques. In this paper, we encourage to consider music content beyond a monomodal audio signal and argue that Music-IR approaches with multimodal and user-centered strategies are necessary to serve real-life usage patterns and maintain and improve accessibility of digital music data. After discussing relevant existing work in these directions, we show that the field of Music-IR faces similar challenges as neighboring fields, and thus suggest opportunities for joint collaboration and mutual inspiration.