- Thomas Hermann, Helge Ritter (1999)
In Lasker, G. E. (Ed.) Advances in intelligent computing and multimedia systems, p. 189--194, Int. Inst. for Advanced Studies in System research and cybernetics, Baden-Baden, Germany
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Summary
Abb.: The figure shows a shock wave emanating from a user-selected center in data space. Local properties around each data point determine phyisical properties such as stiffness or damping.
Sonification is the use of non-speech audio to convey information. We are developing tools for interactive data exploration, which make use of sonification for data presentation. In this paper, model-based sonification is presented as a concept to design auditory displays. Two designs are described: (1) particle trajectories in a ``data potential'' is a sonification model to reveal information about the clustering of vectorial data and (2) ``data-sonograms'' is a sonification for data from a classification problem to reveal information about the mixing of distinct classes.
- Example 1: Model I: Particle Trajectories in a Data Potential
- Example 2: Model II: Data-Sonograms
Contact
Thomas Hermann
Helge Ritter
Listen to your Data: Model-Based Sonification for Data Analysis
Media files
The following soundfiles present Data-Sonograms of the iris data
set. Iris_nm is a sonogram where the shock wave starts at the mean of all
instances of class n. The local entropy S is computed using instances of
class n and m. Thus the class border between class n and m is sonified.