Speech Recognition in a Command and Control Workstation Environment.

Abstract

This thesis investigates speech recognition in a command and control workstation environment. It discusses the Navy's need for a command and control workstation (CCWS) and the importance of the human interface design. In particular, it evaluates the performance of Stanford Research Institute International (SRI's) 1000 word discrete speech recognizer. The speech board is intended to be used in the Command and Control Multi-Media workstation being developed by SRI. Additionally, it investigates a VOTAN continuous recognizer (currently for use by research and commercial vendors) in an interactive warfare simulation game. The results indicate that speech recognition systems could increase the capability of the commander to input and access information, provide more rapid response to information desired or displayed, and enhance human interaction in the man-machine interface. Past, current, and future speech applications are discussed.

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1987
Accession Number
ADA176581

Entities

People

  • Michael A. Lefever

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Automated Speech Recognition
  • Command And Control
  • Command And Control Systems
  • Environment
  • Human-Machine Interfaces
  • Recognition
  • Simulations

Fields of Study

  • Computer science

Readers

  • Human-Computer Interaction (HCI).
  • Joint Military Operations and Doctrine.
  • Speech Processing/Speech Recognition.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy
  • Fully Networked C3
  • Fully Networked C3 - Command and Control