SONIPY

an extensive open-source Python framework
for data sonification research and auditory display

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Psychoacoustic Modeling
SoniPy allows for a separate Psychoacoustic Modeling stage which involves the systematic mapping of information relations in the data to perceptual relations in the sound schema as provided by the CONCEPTUAL tools, for example.

We envisage the interactive reconfiguration of the mapping from information relations to auditory relations. One useful set of psychoacoustic mappings would be those that provide transformation between conceptually linear parameters and acoustic reality; Inverse Fletcher-Munson, for example.

In Barrass' model, changes in such a mapping might cause the automatic remapping of source information through psychoacoustic algorithms (using NumPy and SciPy) to produce new sounds and/or rendering controls. For example a change from categorical to ordered information could automatically produce a remapping from a categorical sound (e.g. instrument, object, stream) to an ordered property of a sounding object (e.g. length, excitation, distance).

References
S. Barrass. "Sculpting a Sound Space with Information Properties," Organised Sound 1(2):125:136 1996. Cambridge University Press, UK.
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Tools are currently being collected. Other suggestions and/or contributions are most welcome: Just click through to the FORUM and let us know what you're thinking or contact David via sonipy_at_avatar_dot_com_dot_au.

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Copyright © 2007-2009 David Worrall                                                                                          Last updated: 20090327