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Study of Discussion Record Analysis Using Temporal Data Crystallization and Its Application to TV Scene Analysis
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In: DTIC (2015)
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| 3 |
Computational Modeling of Emotions and Affect in Social-Cultural Interaction
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In: DTIC (2013)
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| 4 |
A Submodularity Framework for Data Subset Selection
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In: DTIC (2013)
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| 5 |
Speech Synthesis Using Perceptually Motivated Features
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In: DTIC (2012)
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| 6 |
Machine Recognition vs Human Recognition of Voices
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In: DTIC (2012)
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| 7 |
Compressed Domain Automatic Level Control Based on ITU-T G.722.2
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In: DTIC (2012)
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| 8 |
USSS-MITLL 2010 Human Assisted Speaker Recognition
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In: DTIC (2010)
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| 9 |
Multitalker Speech Perception with Ideal Time-Frequency Segregation: Effects of Voice Characteristics and Number of Talkers
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In: DTIC (2009)
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| 10 |
Pictures from Words, Pictures from Text: Constructing Pictorial Representations of Meaning from Text
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In: DTIC (2009)
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| 11 |
The Multi-Session Audio Research Project (MARP) Corpus: Goals, Design and Initial Findings
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In: DTIC (2009)
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| 12 |
Iterated Class-Specific Subspaces for Speaker-Dependent Phoneme Classification
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In: DTIC (2008)
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| 13 |
Multimodal Meeting Capture and Understanding with the CALO Meeting Assistant
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In: DTIC (2007)
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Abstract:
The CALO Meeting Assistant is a multimodal meeting assistant technology that integrates speech, gestures, and multimodal data collected from multiparty interactions during meetings. Using machine learning and robust discourse processing, it provides a rich, browsable record of a meeting. For nearly as long as people have been holding meetings, they have been thinking up ways to make them more bearable. Recent advances include technologies that integrate the processing of speech, natural language understanding, vision, and multimodal interaction to produce tools that perceive what happens at a meeting, extract salient events, and produce a reliable record. The ICSI Meeting Project sought to produce automated and segmented transcripts from natural, multi-party speech during meetings, while the ISL Smart Meeting Room Task and the M4 and AMI projects instrumented meeting rooms to collect data on behaviors so the interactions of meeting participants could be analyzed to produce flexible records of their activities, while providing a supportive environment for collaboration. Akin to the latter, the CALO Meeting Assistant collects data about the behaviors of people in meetings, assimilating speech, movement, and note-taking data to create a rich representation of a meeting that can be analyzed and reviewed at many levels. In addition, the CALO Meeting Assistant integrates its observations with those of a larger system of agents, which assesses the meeting data in the context of the ongoing projects and workflow for each of the meeting participants. Thus, our meeting assistant aims to reach beyond an intelligent room that understands only the activities of people in meetings, and attempts to understand their overarching concerns and interpret their behaviors from the perspective of what their meetings mean to them.
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Keyword:
*ARTIFICIAL INTELLIGENCE; *LEARNING MACHINES; *SPEECH RECOGNITION; AUTOMATION; BEHAVIOR; CALO MEETING ASSISTANT; CALO(COGNITIVE AGENT THAT LEARNS AND ORGANIZES); CONVERSATIONS; Cybernetics; DECISION MAKING; DIALOGUE; INTERACTIONS; Linguistics; MULTIMODE; NATURAL LANGUAGE; PROCESSING; RECORDS; SPEECH; Voice Communications
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URL: http://www.dtic.mil/docs/citations/ADA506397
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA506397
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| 14 |
Error Awareness and Recovery in Conversational Spoken Language Interfaces
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In: DTIC (2007)
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| 15 |
Using Prosody for Automatic Sentence Segmentation of Multi-Party Meetings
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In: DTIC (2006)
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| 16 |
Investigation on Mandarin Broadcast News Speech Recognition
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In: DTIC (2006)
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| 18 |
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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| 19 |
Cognitive Tools for Humanoid Robots in Space
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In: DTIC AND NTIS (2004)
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| 20 |
Towards a Warfighter's Associate: Eliminating the Operator Control Unit
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In: DTIC (2004)
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