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Perturbation and Pitch Normalization as Enhancements to Speaker Recognition
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In: DTIC (2009)
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| 2 |
Automating Convoy Training Assessment to Improve Soldier Performance
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In: DTIC (2008)
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| 3 |
Cross-Cultural Nonverbal Cue Immersive Training
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In: DTIC (2008)
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| 5 |
The 2005 AFRL/HEC One-Speaker Detection Systems
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In: DTIC (2006)
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| 6 |
Enhancing Mental Readiness in Military Personnel
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In: DTIC (2006)
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| 7 |
Towards a Formal Ontology for Military Coalitions Operations
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In: DTIC (2005)
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| 8 |
Comment ameliorer la selection et le traitement des messages verbaux? (How to Improve the Selection and Processing of Verbal Messages)
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In: DTIC (2005)
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| 9 |
Evaluation of Speech Synthesis Systems using the Speech Reception Threshold Methodology
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In: DTIC (2005)
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| 10 |
Initial Kernel Timing Using a Simple PIM Performance Model
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In: DTIC AND NTIS (2005)
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| 11 |
Speech Intelligibility with a Bone Vibrator
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In: DTIC (2005)
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| 12 |
Speech Intelligibility with Acoustic and Contact Microphones
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In: DTIC (2005)
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| 13 |
Objective Measurement of the Speech Transmission Quality of Vocoders by Means of the Speech Transmission Index
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In: DTIC (2005)
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| 14 |
Analysis of Free-Form Battlefield Reports with Shallow Parsing Techniques
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In: DTIC AND NTIS (2004)
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| 15 |
Representational and Inferential Requirements for Diagrammatic Reasoning in the Entity Re-Identification Task
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In: DTIC AND NTIS (2004)
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Abstract:
Diagrammatic reasoning is ubiquitous in Army reasoning: situation understanding and planning in the Army both involve representing aspects of the situation and plans in the form of diagrams. We have been developing a general architecture to support diagrammatic reasoning for Army applications, and in an earlier report 1 we discussed an application in simple maneuver recognition. Our research strategy has been to investigate a variety of applications, each bringing additional requirements for perception and diagrammatic object creating capabilities that can assist the army. One such area is the army's All Source Analysis System (ASAS) that is designed to automate the processing and analysis of intelligence data from all possible sources. One of its purposes is to keep track of various enemy assets, based on a variety of sensors and reports, including direct sightings of entities. In order to maintain a coherent view, the system has to decide whether a new sighting refers to a new entity, a previously known entity that has since moved (re-identification) or is erroneous. This is the entity re-identification task. We have a built a system that uses an abductive reasoning process together with a diagrammatic reasoning system to solve this problem. In this paper, we look at some of the issues that the entity re-identification task poses for diagrammatic reasoning. ; See also ADM001736, Proceedings for the Army Science Conference (24th) held in Orlando, FL on 29 Nov-2 Dec 2005. The original document contains color images.
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Keyword:
*DIAGRAMS; *MILITARY INTELLIGENCE; ASAS(ALL SOURCE ANALYSIS SYSTEM); COMPONENT REPORTS; COMPUTER ARCHITECTURE; Computer Hardware; DETECTORS; DIAGRAMMATIC REASONING; Military Intelligence; MILITARY STRATEGY; Printing and Graphic Arts; RESEARCH MANAGEMENT; SITUATIONAL AWARENESS; SYMPOSIA
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URL: http://www.dtic.mil/docs/citations/ADA432389
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA432389
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| 16 |
The Case for Using Semantic Nets as a Convergence Format for Symbolic Information Fusion
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In: DTIC AND NTIS (2004)
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| 17 |
Electronic Information Management and Intellectual Property Rights
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In: DTIC AND NTIS (2004)
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| 18 |
Ontological Approach to Military Knowledge Modeling and Management
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In: DTIC AND NTIS (2004)
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| 19 |
Story Link Detection and New Event Detection are Asymmetric
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In: DTIC (2003)
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