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

Author

Erman, Lee D. ; Fennell, Richard D. ; Lesser, Victor R. ; Reddy, D. Raj

Author_Institution

Department of Computer Science, Carnegie-Mellon University

Issue

4

fYear

1976

fDate

4/1/1976 12:00:00 AM

Firstpage

414

Lastpage

421

Abstract

This paper considers various factors affecting system em 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 achitectures in speech understanding systems ems are presented: control of processes, interprocess communication and data sharing, resource allocation, and debugging are discussed.¹

Keywords

Hardware for AI, multiprocessors, networks, parallel processing, real-time systems, software for AI, speech recognition, speech understanding, system organization.; Artificial intelligence; Communication system control; Computer architecture; Computer networks; Computer science; Control systems; Process control; Speech analysis; Speech processing; Speech recognition; Hardware for AI, multiprocessors, networks, parallel processing, real-time systems, software for AI, speech recognition, speech understanding, system organization.;

fLanguage

English

Journal_Title

Computers, IEEE Transactions on

Publisher

ieee

ISSN

0018-9340

Type

jour

DOI

10.1109/TC.1976.1674623

Filename

1674623