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1
Pre-Accession Factors in the Performance and Retention of Hispanic Enlistees
In: DTIC (2015)
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2
Help a Brother Out: A Case Study in Multinational Intelligence Sharing, NATO SOF
In: DTIC (2011)
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3
Population-Centric Intelligence, Repression, and the Cycles of Contention
In: DTIC (2008)
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4
Study of Attrition Documentation at the U.S. Navy Recruit Training Command
In: DTIC (2006)
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5
Predicting the Proficiency of Arabic and Persian Linguists Trained at the Defense Language Institute Foreign Language Center
In: DTIC AND NTIS (1999)
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6
Implementing Voice Recognition and Natural Language Processing in the NPSNET Networked Virtual Environment.
In: DTIC AND NTIS (1996)
Abstract: Interfaces to military Virtual Reality (VR) systems, such as NPSNET IV.9, have been limited mainly to keyboard, mouse, and joystick devices. This presents two major problems; remembering how to access all the functionality of the system, and using the interface when the user is otherwise physically constrained. This can occur during the use of body-position tracking devices and Heads-Up-Displays (HUD). Voice recognition and Natural Language Processing (NLP) were used as a solution to both problems. The approach taken was to develop a networked Spoken Language System (SLS) using a Commercial-Off-The-Shelf (COTS) voice recognition and NLP system. The Nuance Speech Recognition System from Nuance Communications was chosen after analyzing the special requirements of NPSNET. Implementing the SLS occurred in four phases. First, vocabularies and grammars were developed to simulate the 108 keyboard commands, focusing on flexibility and decreased response latency. Second, new C++ classes were written to ease reuse of the Nuance API's. Third, a control panel was written to manage the voice processing, and fourth, the code was integrated into NPSNET. As a result of this effort, a new voice-enabled interface exists for NPSNET. In addition, C++ classes exist to ease future use of the Nuance API in other software systems. All of the 108 keyboard commands are executable through voice control with a 83.8% sentence understanding rate in a noisy background environment.
Keyword: *DISTRIBUTED INTERACTIVE SIMULATION; *SPEECH RECOGNITION; *VIRTUAL REALITY; API(APPLICATION PROGRAM INTERFACE); C++ PROGRAMMING LANGUAGE; COMPUTER COMMUNICATIONS; COMPUTER NETWORKS; Computer Systems; CONTROL PANELS; CONTROL SEQUENCES; Cybernetics; DISTRIBUTED DATA PROCESSING; EXECUTIVE ROUTINES; INTERACTIVE GRAPHICS; MAN COMPUTER INTERFACE; NATURAL LANGUAGE; OBJECT ORIENTED PROGRAMMING; OFF THE SHELF EQUIPMENT; PATTERN RECOGNITION; SIGNAL PROCESSING; SOFTWARE ENGINEERING; SYSTEMS ENGINEERING; THESES; Voice Communications
URL: http://www.dtic.mil/docs/citations/ADA320340
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA320340
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7
Diphone-Based Speech Recognition Using Neural Networks.
In: DTIC AND NTIS (1996)
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8
A Type Inference Algorithm And Transition Semantics For Polymorphic C.
In: DTIC AND NTIS (1996)
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9
The Design and Implementation of a Compiler for the Object-Oriented Data Manipulation Language.
In: DTIC AND NTIS (1995)
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10
Optimally Scheduling Instructors at the Defense Language Institute: An Integer Programming Approach
In: DTIC AND NTIS (1993)
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11
The Stylist: A Pascal Program for Analyzing Prose Style
In: DTIC AND NTIS (1987)
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12
Lexical Translator from Arabic to Latin in Pascal Environment.
In: DTIC AND NTIS (1986)
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13
Approximate Reasoning and the REVEAL Software System. Users Guide.
In: DTIC AND NTIS (1985)
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