Task-Oriented, Naturally Elicited Speech (TONE) database for the Force Requirements Expert System, Hawaii (FRESH).
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Authors
Larson, Victoria M.
Subjects
command and control
computational linguistics
expert system voice recognition
man-machine interface
U.S. Government
computational linguistics
expert system voice recognition
man-machine interface
U.S. Government
Advisors
Lind, Judith H.
Date of Issue
1990-09
Date
September 1988
Publisher
Language
en_US
Abstract
The Defense Advanced Research Projects Agency (DARPA) Strategic Computing has
a goal of developing a large-vocabulary, speaker-independent voice-recognition system for
battle management and fleet readiness assessment. One of the primary testbeds for the
recognition system will be the command and control operation of the classified database
for the Force Requirements Expert System, Hawaii (FRESH).
The Naval Ocean Systems Center (NOSC) has designed an unclassified database
called Task-Oriented, Naturally Elicited Speech (TONE) which simulates the characteristics
of FRESH on a smaller scale. This study assisted NOSC in developing a voice-recognition,
man-machine interface that could be used with TONE and upgraded at a later date for
FRESH. The study identified more than 600 words that are associated with command and
control and provided NOSC with the three most common forms of syntax used by the participants.
Type
Thesis
Description
Series/Report No
Department
Administrative Sciences
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
177 p.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.