Learning and Plan Refinement in a Knowledge-Based System for Automatic Speech Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Advanced topics in signal processing
Integrated processing and understanding of signals
Symbolic and knowledge-based signal processing
The Hearsay-II Speech-Understanding System: Integrating Knowledge to Resolve Uncertainty
ACM Computing Surveys (CSUR)
Integrated Signal Processing and Signal Understanding
Integrated Signal Processing and Signal Understanding
Intelligent monitoring and control
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 1
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
A goal-directed intermediate level executive for image interpretation
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 2
Hi-index | 0.00 |
This paper presents the IPUS (Integrated Processing and Understanding of Signals) architecture to address the traditional perceptual paradigm's shortcomings in complex environments. It has two premises: (1) the search for correct interpretations of signal processing algorithms' (SPAs) outputs requires concurrent search for SPAs and control parameters appropriate for the environment, and (2) interaction between these search processes must be structured by a formal theory of how inappropriate SPA usage can distort SPA output. We describe IPUS's key components (discrepancy detection, diagnosis, reprocessing, and differential diagnosis) and their instantiation in an acoustic interpretation system. This application, along with another in the radar domain, supports our claim that the IPUS paradigm is feasible and generic.