The Need for Music Information Retrieval with User-Centered and Multimodal Strategies
MIRUM '11, ACM, Scottsdale, Arizona (2011), pp. 1-6
Cynthia C.S. Liem, Meinard Müller, Douglas Eck, George Tzanetakis, Alan Hanjalic
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 reallife 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.