SRI International
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NV-CMOS HD Camera for Day/Night Imaging
SRI International (SRI) has developed a new multi-purpose day/night video camera with low-light imaging performance comparable to an image intensifier, while offering the size, weight, ruggedness, and cost advantages enabled by the use of SRI’s NV-CMOS HD digital image sensor chip.
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Uncovering Cryptic Glycan Markers in Multiple Sclerosis (MS) and Experimental Autoimmune Encephalomyelitis (Eae)
We observed epitope-spreading of autoantibody responses to a variety of antigenic structures in the cerebrospinal fluid (CSF) of patients with multiple sclerosis (MS) and in the serum of mice with experimental autoimmune encephalomyelitis (EAE).
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Clock Synchronization on the RAX Spacecraft
The Radio Aurora Explorer (RAX) is a CubeSat that was developed to study space weather in Earth׳s ionosphere. Accuracy of the onboard clock is critical for processing the radar measurements.
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Feature Fusion for High-Accuracy Keyword Spotting
This paper assesses the role of robust acoustic features in spoken term detection (a.k.a keyword spotting—KWS) under heavily degraded channel and noise corrupted conditions.
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Submodular Subset Selection for Large-Scale Speech Training Data
We address the problem of subselecting a large set of acoustic data to train automatic speech recognition (ASR) systems. To this end, we apply a novel data selection technique based on constrained submodular function maximization.
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Articulatory features from neural networks and their role in speech recognition
This paper presents a deep neural network (DNN) to extract articulatory information from the speech signal and explores different ways to use such information in a continuous speech recognition task.
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Design, Development, Implementation, and on-Orbit Performance of the Dynamic Ionosphere Cubesat Experiment Mission
The Dynamic Ionosphere CubeSat Experiment (DICE) mission consists of two 1.5U CubeSats which were launched into an eccentric low Earth orbit on October 28, 2011.
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Emotion Detection in Speech Using Deep Networks
We propose a novel staged hybrid model for emotion detection in speech. Hybrid models exploit the strength of discriminative classifiers along with the representational power of generative models.
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Lexical Stress Classification for Language Learning Using Spectral and Segmental Features
We present a system for detecting lexical stress in English words spoken by English learners. The system uses both spectral and segmental features to detect three levels of stress for each syllable in a word.
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Nicotine Dependence as a Moderator of Genetic Influences on Smoking Cessation Treatment Outcome
In this secondary analysis of clinical trial data, we examined nicotine dependence severity as a moderator of the effects of 1198 single nucleotide polymorphisms (SNPs) in 53 biologically-relevant gene regions on smoking cessation outcomes.
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Postsecondary Pathways and Persistence for Stem Versus Non-Stem Majors: Among College Students with an Autism Spectrum Disorder
This study analyzed data from the National Longitudinal Transition Study-2, 2001–2009, a nationally representative sample of students in special education with an ASD who progressed from high school to postsecondary education.
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The 24-H Progression of Menstrual Pain in Women with Primary Dysmenorrhea When Given Diclofenac Potassium: A Randomized, Double-Blinded, Placebo-Controlled Crossover Study
We aimed to investigate the efficacy of the daily recommended dose of diclofenac potassium in treating severe menstrual pain in women with severe primary dysmenorrhea.