Scalable Auditory Data Signatures for Discovery Oriented Browsing in an Expressive Context

Abstract

To be useful for browsing in vast multidimensional databases, auditory representations need to be able to scale in depth and detail. The concepts of quantitative and qualitative listening are presented and Scalable Auditory Data Signatures introduced conceptually. The implementation of these concepts within the interdisciplinary project ``ATLAS in silico'' is described.