---
title: "System Organizations for Speech Understanding: Implications of Network and Multiprocessor Computer Architecture for AI"
authors:
  - "Lee D. Erman"
  - "R. D. Fenneli"
  - "Victor R. Lesser"
  - "Dabbala Rajagopal Reddy"
doi: ""
url: "https://ijcai.org/proceedings/1973/25"
pdf: "https://ijcai.org/proceedings/1973/0025.pdf"
venue: "Proceedings of the Third International Joint Conference on Artificial Intelligence"
year: 1973
pages: "194-198"
track: "Natural Language: Speech"
keywords:
---

# System Organizations for Speech Understanding: Implications of Network and Multiprocessor Computer Architecture for AI

Lee D. Erman, R. D. Fenneli, Victor R. Lesser, Dabbala Rajagopal Reddy

*Proceedings of the Third International Joint Conference on Artificial Intelligence*, pages 194-198.

## Abstract

This paper considers various factors affecting system organization for speech understand ing 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. Keywords: speech recognition, speech understanding, system organization, networks, multiprocessors, parallel processing, real-time systems, hardware for AI, software for AI.