Definition-independent Formalization of Soundscapes: Towards a Formal
  Methodology
Mikel D. Jedrusiak Thomas Harweg Timo Haselhoff Bryce T. Lawrence Susanne Moebus Frank Weichert
Soundscapes have been studied by researchers from various disciplines, each
with different perspectives, goals, approaches, and terminologies. Accordingly,
depending on the field, the concept of a soundscape's components changes,
consequently changing the basic definition. This results in complicating
interdisciplinary communication and comparison of results. Especially when
soundscape-unrelated research areas are involved. For this reason, we present a
potential formalization that is independent of the underlying soundscape
definition, with the goal of being able to capture the heterogeneous structure
of the data as well as the different ideologies in one model. In an exemplary
analysis of frequency correlation matrices for land use type detection as an
alternative to features like MFCCs, we show a practical application of our
presented formalization.