TOWARDS A SOCIO-CULTURAL COMPATIBILITY OF
MIR SYSTEMS
Stephan Baumann Tim Pohle Vembu Shankar
German Research Center for
Artificial Intelligence
Erwin Schrödinger Str.
67663 Kaiserslautern
Germany
German Research Center for
Artificial Intelligence
Erwin Schrödinger Str.
67663 Kaiserslautern
Germany
Technical University of
Hamburg
21071 Hamburg
Germany
ABSTRACT
Future MIR systems will be of great use and pleasure
for potential users. If researchers have a clear picture
about their “customers” in mind they can aim at
building and evaluating their systems exactly inside the
different socio-cultural environments of such music
listeners. Since music is in most cases embedded into a
socio-cultural process we propose especially to evaluate
MIR applications outside the lab during daily activities.
For this purpose we designed a mobile music
recommendation system relying on a trimodal music
similarity metric, which allows for subjective on-the-fly
adjustments of recommendations. It offers online access
to large-scale metadata repositories as well as an audio
database containing 1000 songs. We did first small-
scale evaluations of this approach and came to
interesting results regarding the perception of song
similarity concerning the relations between sound,
cultural issues and lyrics. Our paper will also give
insights to the three different underlying approaches for
song similarity computation (sound, cultural issues,
lyrics), focusing in detail on a novel clustering of album
reviews as found at online music retailers.
Keywords: Socio-cultural issues in MIR, multimodal
song similarity, ecological validation.
1. INTRODUCTION
We propose a socio-cultural compatibility of MIR
systems and achieved promising results by evaluating
such an application in the field of mobile music
recommendations. We included the following aspects:
1. The musical work of artists is examined from the
perspective of a music-consuming society.
2. Optionally, users may add personal information
about age, gender, musical education, personal
taste which reflects belonging to social peer
groups.
3. Subjective music-listening behavior in socio-
cultural environments is collected and evaluated
with an ecological approach.
4. Long-term observations are undertaken using a
plugin for Winamp MP3 software.
5. Aspects of the artist’s creative intention being
partially represented in sound, orchestration,
production environment, selection of singer and
lyrics are covered by audio analysis and
information retrieval methods.
We are well aware of the fact that such a holistic
approach needs for a significant amount of research.
Nevertheless other authors [1] have proposed similar
approaches emphasizing the socio-cultural dimension.
Our activities and the presented paper focus on the
aspects (1) and (3) (in contrast to our previous
publication [2] which included no details about the
clustering techniques). Point (5) is described very
shallow and (2), (4) are considered in future work.
Figure 1. Ecological evaluation.
2. RELATED WORK
Our research asks how we might add to our
understanding of perception of music similarity through
an ‘ecological’ approach. This means studying how
people perceive music similarity in their normal lives
beyond the artificial world of lab-based experiments. To
this end we want to find new ways of observing users’
interaction with our systems as they go about their
everyday activities. Cognition in the wild means
studying cognitive phenomena in the natural contexts in
which they occur. This approach relates to the insight
that what people do in labs may not be ‘ecologically
valid’: experimental results may be artefacts of the lab
situation, failing to represent people’s behaviour in the
‘ecologies’ of their normal lives. While the lab-based
approach can tell us about perception of music
similarity [3], we feel it is also important to look beyond
the lab and its artificial experimental setups, to music
users’ spontaneous perception of music similarity in real
situations as part of their everyday lives. This ecological
approach might reveal, for example, how perception
changes with time, location, or activity, in ways, which
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© 2004 Universitat Pompeu Fabra.