System organizations for speech understanding: implications of network and multiprocessor computer architectures for AI

  • Authors:
  • L. D. Erman;R. D. Fennel;V. R. Lesser;D. R. Reddy

  • Affiliations:
  • Computer Science Department, Carnegie-Mellon University, Pittsburgh, PA;Computer Science Department, Carnegie-Mellon University, Pittsburgh, PA;Computer Science Department, Carnegie-Mellon University, Pittsburgh, PA;Computer Science Department, Carnegie-Mellon University, Pittsburgh, PA

  • Venue:
  • IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
  • Year:
  • 1973

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Abstract

This paper considers various factors affecting system organization for speech understanding research. The structure of the Hearsay system based on a set of cooperating, independent processes using the hypothesize-and-test paradigm is presented. Design considerations for the effective use of multiprocessor and network architectures in speech understanding systems are presented: control of processes, interprocess communication and data sharing, resource allocation, and debugging are discussed.