Abstract
In the analysis of signals from complex environments, often it is not possible to rely on a single set of signal processing algorithms (SPAs) to produce a set of data correlates that permit meaningful interpretation. In such situations, what is needed is the structured fusion of data from multiple applications of SPAs (reprocessings) with different parameter values. We present the integrated processing and understanding of signals (IPUS) architecture as a framework for structuring interaction between the search for SPAs appropriate to the environment and the search for interpretation models to explain the SPAs' output data correlates. In this paper we describe our use of IPUS to control the integration of output from multiple SPA applications in a system for acoustic signal interpretation of household sounds.
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