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How Autism Affects Speech Understanding in Multitalker Environments
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In: DTIC (2014)
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| 2 |
How Autism Affects Speech Understanding in Multitalker Environments
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In: DTIC (2013)
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| 3 |
Effects of Speech Intensity on the Callsign Acquisition Test (CAT) and Modified Rhyme Test (MRT) Presented in Noise
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In: DTIC (2012)
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| 4 |
Performance Assessments of Two-Way, Free-Form, Speech-to-Speech Translation Systems for Tactical Use
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In: DTIC (2011)
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| 5 |
Listener Detection of Talker Stress in Low-Rate Coded Speech
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In: DTIC (2008)
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| 6 |
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
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In: DTIC (2007)
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| 7 |
Comparing Evaluation Metrics for Sentence Boundary Detection
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In: DTIC (2007)
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| 8 |
Measuring Human Readability of Machine Generated Text: Three Case Studies in Speech Recognition and Machine Translation
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In: DTIC (2005)
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| 9 |
Speech Intelligibility with Acoustic and Contact Microphones
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In: DTIC (2005)
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| 10 |
Conversational Telephone Speech Corpus Collection for the NIST Speaker Recognition Evaluation 2004
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In: DTIC (2004)
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| 11 |
Spoken Dialogue for Simulation Control and Conversational Tutoring
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In: DTIC (2004)
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| 12 |
The Pragmatics of Taking a Spoken Language System Out of the Laboratory
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In: DTIC (2003)
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| 13 |
A Three-Tiered Evaluation Approach for Interactive Spoken Dialogue Systems
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In: DTIC (2001)
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| 14 |
Automated Tutoring Dialogues for Training in Shipboard Damage Control
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In: DTIC (2001)
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Abstract:
This paper describes an application of state-of-the-art spoken language technology (OAA/Gemini/Nuance) to a new problem domain: engaging students in automated tutorial dialogs to evaluate and improve their performance in a training simulator. Shipboard damage control refers to the task of containing the effects of fire, explosions, hull breaches, flooding, and other critical events that can occur aboard Naval vessels. The high-stakes, high-stress nature of this task, together with limited opportunities for real-life training, make damage control an ideal target for artificial intelligence-enabled educational technologies like training simulators and tutoring systems. The simulator used in this study is DC-TRAIN, an immersive, multimedia training environment for damage control. DC-TRAIN's training scenarios simulate a mixture of physical phenomena (e.g., fire, flooding) and personnel issues (e.g., casualties, communications, standardized procedures). The current tutoring system is restricted to fire damage scenarios only, and in particular to the 12 fire scenarios available in DC-TRAIN version 2.5, but in future versions the authors plan to support post-session critiques for all of the damage phenomena that will be modeled by DC-TRAIN 4.0: fire, flooding, missile damage, and wall or firemain ruptures. ; The original document contains color images.
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Keyword:
*AUTOMATED TUTORING SYSTEMS; *AUTOMATION; *DAMAGE CONTROL; *EXPERT SYSTEMS; *NAVAL TRAINING; *SHIP PERSONNEL; *SIMULATORS; *VOICE COMMUNICATIONS; AUTOMATED CRITIQUES; CRISIS MANAGEMENT; Cybernetics; DC TRAIN 2.5 SIMULATOR; Equipment and Methods; GEMINI GRAMMAR; INTELLIGENT TUTORING SYSTEMS; INTERACTIONS; Linguistics; Marine Engineering; NATURAL LANGUAGE; NATURAL LANGUAGE PROCESSING; NAVAL PERSONNEL; NAVAL VESSELS; NUANCE SPEECH RECOGNIZER; OAA(OPEN AGENT ARCHITECTURE); PARSERS; PERFORMANCE(HUMAN); SHIP FIRES; SHIPBOARD; SHIPBOARD DAMAGE CONTROL; SIMULATION; SPEECH RECOGNITION; SPOKEN DIALOG SYSTEMS; Test Facilities; TRAINING DEVICES; TRAINING SIMULATORS; Voice Communications
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA459671
http://www.dtic.mil/docs/citations/ADA459671
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| 15 |
Speech Intelligibility of Native and Non-Native Speech
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In: DTIC (2000)
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| 16 |
Acoustic-Phonetic Modeling of Non-Native Speech for Language Identification
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In: DTIC (2000)
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| 17 |
Uses of the Diagnostic Rhyme Test (English Version) for Predicting the Effects of Communicators' Linguistic Backgrounds on Voice Communications in English: An Exploratory Study
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In: DTIC (2000)
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| 18 |
Efficient Algorithms for Speech Recognition.
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In: DTIC AND NTIS (1996)
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| 19 |
External/Internal Data Fusion Testbed: History, Components and Experimental Analysis.
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In: DTIC AND NTIS (1995)
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| 20 |
Comparative Experiments on Large Vocabulary Speech Recognition
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In: DTIC (1993)
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