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Prototyping Mobile Storytelling Applications for People with Aphasia
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In: Sensors; Volume 22; Issue 1; Pages: 14 (2021)
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| 2 |
A Field Study of Older Adults with Cognitive Impairment using Tablets for Communication at Home: Closing Technology Adoption Gaps using InTouch
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TExVis: An Interactive Visual Tool to Explore Twitter Data ...
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A graphical environment for creating constraint programming models ...
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| 5 |
Análisis del diseño interactivo de las mejores apps educativas para niños de cero a ocho años
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In: Comunicar: Revista científica iberoamericana de comunicación y educación, ISSN 1134-3478, Nº 46, 2016, pags. 77-85 (2016)
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| 6 |
What is a Lexicographical Database?
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In: Lexikos; Vol. 23 (2013) ; 2224-0039 (2013)
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| 7 |
Controlled English for Effective Communication during Coalition Operations
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In: DTIC (2013)
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| 8 |
Enabling Efficient Intelligence Analysis in Degraded Environments
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In: DTIC (2013)
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| 9 |
Interacting with Multi-Robot Systems Using BML
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In: DTIC (2013)
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| 10 |
What is a Lexicographical Database?
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In: Lexikos, Vol 23, Pp 77-87 (2013) (2013)
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| 11 |
Extrinsic Evaluation of Automated Information Extraction Programs
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In: DTIC (2010)
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| 12 |
Speech Recognition, Articulatory Feature Detection, and Speech Synthesis in Multiple Languages
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In: DTIC (2009)
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Abstract:
This document provides a summary of work completed by General Dynamics under the work unit 71840871, Speech Interfaces for Multinational Collaboration, for the period August 2004 to February 2009 under contract FA8650-04-C-6443. The speech technologies developed during this period include speech recognizers, Articulatory Feature (AF) detectors, and speech synthesizers. Speech recognition systems were developed for 15 different languages, and three methods were investigated for improving the performance of the systems: vocal tract length normalization, speaker adaptive training, and recognizer output voting error reduction. English AF detectors were developed using Gaussian mixture models, two-class Multi-Layer Perceptrons (MLPs), fusion MLPs, and multi-class MLPs. The outputs of the AF detectors were used to form the feature set for a speech recognizer. Speech synthesis systems were created for 13 different languages, and the following system modifications were investigated: expanding the label set to include additional contextual factors, changing the minimum description length control factor, and applying speaker clustering and adaption to create new voices. In addition, two graphical user interfaces were developed for training new voices and synthesizing speech in real-time.
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Keyword:
*FEATURE EXTRACTION; *LANGUAGE; *SPEECH RECOGNITION; *SPEECH SYNTHESIS; *SYNTHESIS; ADAPTIVE TRAINING; ARTICULATORY DETECTION; CLUSTERING; DETECTION; FOREIGN LANGUAGES; GRAPHICAL USER INTERFACE; Linguistics; PE62202F; STATISTICAL PROCESSES; Voice Communications; WUAFRL71840871
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA519140
http://www.dtic.mil/docs/citations/ADA519140
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| 13 |
Pictures from Words, Pictures from Text: Constructing Pictorial Representations of Meaning from Text
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In: DTIC (2009)
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| 14 |
A Sensemaking Visualization Tool with Military Doctrinal Elements
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In: DTIC (2008)
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| 15 |
Common Navy Warfighting Display Symbology Implementation Guide
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In: DTIC (2007)
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| 16 |
BEstablishing and maintaining long-term human-computer relationships
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In: http://www.ccs.neu.edu/research/rag/publications/05_CHI_BTPR.pdf (2005)
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| 17 |
Establishing and Maintaining Long-Term Human-Computer Relationships
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In: http://web.cs.wpi.edu/~rich/courses/cs525u/readings/BickmorePicard2005.pdf (2005)
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| 18 |
Establishing and Maintaining Long-Term Human-Computer Relationships
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In: http://irfan.www.media.mit.edu/affect/pdfs/04.bickmore-picard-tochi.pdf (2005)
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| 20 |
Lessons Learned from Developing SAWA: A Situation Awareness Assistant
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In: DTIC (2005)
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