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1
Toward Determining the Comprehensibility of Machine Translations
In: DTIC (2012)
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2
Regression in Analysis
In: DTIC (2008)
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3
The British Sign Language (BSL) norms for age of acquisition, familiarity, and iconicity
In: BEHAV RES METHODS , 40 (4) 1079 - 1087. (2008) (2008)
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4
Experimental Facility for Measuring the Impact of Environmental Noise and Speaker Variation on Speech-to-Speech Translation Devices
In: DTIC (2006)
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5
More than words: a common neural basis for reading and naming deficits in developmental dyslexia?
In: BRAIN , 128 261 - 267. (2005) (2005)
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6
Final Approach Trajectory Control with Fuzzy Controller.
In: DTIC AND NTIS (1999)
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7
A Statistical, Nonparametric Methodology for Document Degradation Model Validation
In: DTIC (1999)
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8
Fuzzy Controller for Acoustic Vehicle Target Intercept Guidance
In: DTIC AND NTIS (1997)
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9
Fuzzy Controller for Beam Rider Guidance.
In: DTIC AND NTIS (1995)
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10
A Self-Organizing Neural Network Architecture for Auditory and Speech Perception with Applications to Acoustic and Other Temporal Prediction Problems
In: DTIC AND NTIS (1994)
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11
Coherence and Usability of an Environmental Impact Statement
In: DTIC AND NTIS (1994)
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12
Vulnerability Assessment Using a Fuzzy Logic Based Method
In: DTIC AND NTIS (1993)
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13
New Results on the Compatibility of the Standard Conditional Likelihood Approach with Product Space Conditional Event Algebra
In: DTIC AND NTIS (1992)
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14
The Role of Conditional Event Algebra in the Modeling of C3 Systems
In: DTIC AND NTIS (1992)
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15
Word and Subword Modelling in a Segment-Based HMM Word Spotter Using a Data Analytic Approach
In: DTIC AND NTIS (1992)
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16
Segment-Based Acoustic Models for Continuous Speech Recognition
In: DTIC AND NTIS (1992)
Abstract: This paper presents an overview of the Boston University continuous word recognition system, which is based on the Stochastic Segment Model (SSM). The key components of the system described here include: a segment-based acoustic model that uses a family of Gaussian distributions to characterize variable length segments; a divisive clustering technique for estimating robust context-dependent models; and recognition using the N-best rescoring formalism, which also provides a mechanism for combining different knowledge sources (e.g. SSM and HMM scores). Results are reported for the speaker-independent portion of the Resource Management Corpus, for both the SSM system and a combined BU-SSM/BBN-HMM system. ; Supported in part by DARPA-NSF.
Keyword: *ACOUSTICS; *GAUSSIAN QUADRATURE; *SPEECH RECOGNITION; *WORD RECOGNITION; CLUSTERING; Cybernetics; DISTRIBUTION; Linguistics; MANAGEMENT; MODELS; RESOURCE MANAGEMENT; SSM(STOCHASTIC SEGMENT MODEL); VARIABLES; Voice Communications
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA259780
http://www.dtic.mil/docs/citations/ADA259780
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17
Rule Based Sinusoidal Encoding of Speech
In: DTIC AND NTIS (1990)
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18
The Effect of Three Variables on Synthetic Speech Intelligibility in Noisy Environments
In: DTIC AND NTIS (1990)
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19
Knowledge and Ability Factors Underlying Simple Learning by Accretion
In: DTIC AND NTIS (1989)
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20
Knowledge and Processing Speed as Determinants of Associative Learning
In: DTIC AND NTIS (1989)
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