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Natural user interfaces and smart devices for the assessment of spatial memory using auditory stimuli
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| 2 |
Structural Complexity in Linguistic Systems Research Topic 3: Mathematical Sciences
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In: DTIC (2015)
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Document Image Parsing and Understanding using Neuromorphic Architecture
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In: DTIC (2015)
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Music and word recall: The strength of familiar melodies as mnemonic devices
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IBM MASTOR SYSTEM: Multilingual Automatic Speech-to-speech Translator
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In: DTIC (2006)
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Designing clinical interventions for children with specific memory disorders.
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In: Pediatr Rehabil , 8 (4) 283 - 297. (2005) (2005)
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| 7 |
Building Certified Libraries for PCC: Dynamic Storage Allocation
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In: DTIC AND NTIS (2003)
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| 8 |
Estimating Grammar Parameters using Bounded Memory
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In: DTIC (2002)
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| 9 |
A Type-Preserving Compiler Infrastructure
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In: DTIC AND NTIS (2002)
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| 10 |
Towards a Unified Approach to Memory- and Statistical-Based Machine Translation
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In: DTIC (2001)
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| 11 |
Insights into Working Memory from The Perspective of The EPIC Architecture for Modeling Skilled Perceptual-Motor and Cognitive Human Performance.
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In: DTIC AND NTIS (1998)
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| 12 |
Efficient Algorithms for Speech Recognition.
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In: DTIC AND NTIS (1996)
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Abstract:
Advances in speech technology and computing power have created a surge of interest in the practical application of speech recognition. However, the most accurate speech recognition systems in the research world are still far too slow and expensive to be used in practical, large vocabulary continuous speech applications. Their main goal has been recognition accuracy, with emphasis on acoustic and language modelling. But practical speech recognition also requires the computation to be carried out in real time within the limited resources CPU power and memory size of commonly available computers. There has been relatively little work in this direction while preserving the accuracy of research systems. In this thesis, we focus on efficient and accurate speech recognition. It is easy to improve recognition speed and reduce memory requirements by trading away accuracy, for example by greater pruning, and using simpler acoustic and language models. It is much harder to improve both the recognition speed and reduce main memory size while preserving the accuracy. This thesis presents several techniques for improving the overall performance of the CMU Sphinx-II system. Sphinx-II employs semi-continuous hidden Markov models for acoustics and trigram language models, and is one of the premier research systems of its kind. The techniques in this thesis are validated on several widely used benchmark test sets using two vocabulary sizes of about 20K and 58K words. The main contributions of this thesis are an 8-fold speedup and 4-fold memory size reduction over the baseline Sphinx-II system. The improvement in speed is obtained from the following techniques: lexical tree search, phonetic fast match heuristic, and global best path search of the word lattice.
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Keyword:
*ALGORITHMS; *SPEECH RECOGNITION; ACCURACY; ACOUSTICS; COMPUTERS; EFFICIENCY; GLOBAL; HEURISTIC METHODS; LANGUAGE; LEXICOGRAPHY; MEMORY DEVICES; MODELS; PATHS; REAL TIME; REQUIREMENTS; RESOURCES; SEARCHING; SIZES(DIMENSIONS); SPEECH; STANDARDS; TEST SETS; THESES; TREES; VELOCITY; VOCABULARY; Voice Communications
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA310308
http://www.dtic.mil/docs/citations/ADA310308
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| 13 |
System, Performance, and Applicability Assessment of a High-Performance Computer System.
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In: DTIC AND NTIS (1995)
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Automatic Tools for Developing Fine-Grained Signal Processing Programs on Multicomputers.
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In: DTIC AND NTIS (1995)
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| 15 |
Reading: Interactions with Memory.
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In: DTIC AND NTIS (1991)
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| 17 |
Scientific Programming Languages for Distributed Memory Multiprocessors: Paradigms and Research Issues
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In: DTIC (1991)
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| 19 |
Analysis of the Organization of Lexical Memory
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In: DTIC AND NTIS (1991)
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Development of a Hypermedia Foreign Language Vocabulary Learning Environment
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In: DTIC AND NTIS (1990)
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