Literature DB >> 7479718

Military and government applications of human-machine communication by voice.

C J Weinstein1.   

Abstract

This paper describes a range of opportunities for military and government applications of human-machine communication by voice, based on visits and contacts with numerous user organizations in the United States. The applications include some that appear to be feasible by careful integration of current state-of-the-art technology and others that will require a varying mix of advances in speech technology and in integration of the technology into applications environments. Applications that are described include (1) speech recognition and synthesis for mobile command and control; (2) speech processing for a portable multifunction soldier's computer; (3) speech- and language-based technology for naval combat team tactical training; (4) speech technology for command and control on a carrier flight deck; (5) control of auxiliary systems, and alert and warning generation, in fighter aircraft and helicopters; and (6) voice check-in, report entry, and communication for law enforcement agents or special forces. A phased approach for transfer of the technology into applications is advocated, where integration of applications systems is pursued in parallel with advanced research to meet future needs.

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Year:  1995        PMID: 7479718      PMCID: PMC40727          DOI: 10.1073/pnas.92.22.10011

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  4 in total

1.  Models of natural language understanding.

Authors:  M Bates
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

2.  Speech recognition technology: a critique.

Authors:  S E Levinson
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

3.  Toward the ultimate synthesis/recognition system.

Authors:  S Furui
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

4.  The role of voice input for human-machine communication.

Authors:  P R Cohen; S L Oviatt
Journal:  Proc Natl Acad Sci U S A       Date:  1995-10-24       Impact factor: 11.205

  4 in total

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