The Role of Data Reprocessing in Complex Acoustic Environments

The Integrated Processing and Understanding of Signals (IPUS) architecture is a general blackboard framework for structuring bidirectional interaction between front-end signal processing algorithms (SPAs) and signal understanding processes. To date, reported work on the architecture has focused on proof-of-concept demonstrations of how well a sound-understandingtestbed(SUT) basedon IPUS coulduse small libraries of sound models and small sets of SPAs to analyze acoustic scenarios. In this paper we evaluate how well the architecture scales up to more complex environments. We describe knowledge-representation and control-strategy issuesinvolvedin scaling upan IPUS-basedSUT for usewith a library of 40 sound models, and present empirical evaluation that shows (a) the IPUS data reprocessing paradigm can increase interpretation accuracy by 25%

• Type: Conference
• Year: 1998
• Where: AAAI
• Authors: Frank Klassner, Victor R. Lesser, Hamid Nawab
• Keywords: AAAI 1998, Front-end Signal Processing, Intelligent Agents, Signal Understanding Processes, Sound Models