Publications
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Global Ethics and Virtual Worlds: Ensuring Functional Integrity in Transnational Research Studies
This paper examines a number of issues in this research context, with particular stress on the challenges posed by transnational experimental projects in virtual worlds and social networks.
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Highly Accurate Phonetic Segmentation Using Boundary Correction Models and System Fusion
Accurate phone-level segmentation of speech remains an important task for many subfields of speech research. We investigate techniques for boosting the accuracy of automatic phonetic segmentation based on HMM acoustic-phonetic…
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Medium-Duration Modulation Cepstral Feature for Robust Speech Recognition
In this paper, we present the Modulation of Medium Duration Speech Amplitude feature, which is a composite feature capturing subband speech modulations and a summary modulation.
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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…
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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…
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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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Highly Accurate Phonetic Segmentation Using Correction Models and System Fusion
We investigate techniques for boosting the accuracy of automatic phonetic segmentation based on HMM acoustic-phonetic models.
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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…
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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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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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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…
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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…