Information obtained from data processing and presentation form an
increasingly large part of
modern scientific, economic, industrial and artisitic
research. The sheer volume of data produced by many simulation
and data gathering activities can change the nature of research
including intractable analytical problems and unmanagable data sets. read
initiated for developing computing resources for data
sonification through a Python user–interface. Currently it is primarily
used to effectively process and sonify large or complex datasets.
We conduct research in information sonification, specialising in large
time-critical time-series analysis of data from the capital markets,
electroencephalograms(EEG) and computer networks, for example.
To enhance data presentation, especially for artistic practice, we use
state of the art output capabilities, including 3D
immersive ambient environments.
have a project that you think data sonification could be useful, or you
interested in contributing to th development of SoniPy, please email us.
is a portmanteau of sonic and
term used to describe
whose principal purpose is to articulate the information being sonified
as clearly as possible, rather than for the sheer beauty of
the sound or other artistic expressive purposes. The term was coined
largely to cover the somewhat ambiguous term scientific
sonification which seems to have fallen out of favour. Coined
in 2007 by
experimental composer and sonifier David
definitions and descriptions can be found in the Glossary of