Eyes and Ears for Computers,

Abstract

The paper presents a unified view of the research in machine perception of speech and vision in the hope that a clear appreciation of similarities and differences may lead to better information-processing models of perception. Various factors that affect the feasibility and performance of perception systems are discussed. To illustrate the current state of the art in machine perception, examples are chosen from the HEARSAY speech understanding system and the image processing portion of the SYNAPS neural modelling system. Some unsolved problems in a few key areas are presented. (Author)

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1973
Accession Number
AD0760153

Entities

People

  • D. Raj Reddy

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Applied Computer Science
  • Artificial Intelligence
  • Automated Speech Recognition
  • Computer Science
  • Computers
  • Data Processing
  • Image Processing
  • Information Processing
  • Machine Perception
  • Perception

Readers

  • Computer Vision.
  • Educational Psychology
  • Speech Processing/Speech Recognition.