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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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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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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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Abstract:
This demonstration shows a flexible tutoring system for studying the effects of different tutoring strategies enhanced by a spoken language interface. The hypothesis is that spoken language increases the effectiveness of automated tutoring. The focus is on the SCoT-DC spoken language tutor for Navy damage control. However, because SCoT-DC performs reflective tutoring on DC-TRAIN simulator sessions, the authors also have developed a speech interface for the existing DC-TRAIN damage control simulator to promote ease of use as well as consistency of interface. The tutor is developed within the Architecture for Conversational Intelligence. They use Open Agent Architecture (OAA) for communication between agents based on the Nuance speech recognizer, the Gemini natural language system, and Festival speech synthesis. The tutor adds its own dialog manager agent for general principles of conversational intelligence, and a tutor agent, which uses tutoring strategies and tactics to plan out an appropriate review and react to the student's answers to questions and desired topics. The SCoT-DC tutor, in Socratic style, asks questions rather than giving explanations. The tutor has a repertoire of hinting tactics to deploy in response to student answers to questions, and it identifies and discusses repeated mistakes. The student is able to ask "why" questions after certain tutor explanations, and to alter the tutorial plan by requesting that the tutor skip discussion of certain topics. In DC-TRAIN, the system uses several windows to provide information graphically, in addition to the spoken messages. In SCoT-DC, the Ship Display from DC-TRAIN is used for both multimodal input and output. Both DC-TRAIN and SCoT-DC use the same overall Gemini grammar. In a Nuance language model compiled from the Gemini grammar, different top-level grammars are used in SCoT-DC to enhance speech recognition based on expected answers.
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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; GRAPHICAL USER INTERFACE; 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=ADA459672
http://www.dtic.mil/docs/citations/ADA459672
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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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| 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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