Data processing performs an increasingly important role in modern scientific, economic, industrial and artistic research and its applications. The modes of presentation of such data markedly affects the perception of the information it contains. This is especially the case in situations where the sheer volume of data produced by many simulation and data-gathering activities can change the nature of research including with intractable analytical problems and unmanageable data sets.
SoniPy is public-domain project we 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 and 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.
If you have a project that you think data sonification could be useful, or you are interested in contributing to the development of SoniPy, please email us.
Basic Introduction to Data Sonification
Interview with David Worrall at Fraunhofer IIS, Erlangen, Germany