Author: SRI International
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Recognizing articulatory gestures from speech for robust speech recognition
This paper proposes a neural network architecture for recognizing articulatory gestures from speech and presents ways to incorporate articulatory gestures for a digit recognition task.
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Releases from Hydrogen Fuel-Cell Vehicles in Tunnels
To investigate potential consequences, a combined experimental and modeling study has been performed to characterize releases from a hydrogen fuel-cell vehicle inside a tunnel.
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Speaker recognition with region-constrained MLLR transforms
We define regions based on phonetic and prosodic criteria, based on automatic speech recognition output, and perform MLLR estimation using only frames selected by these criteria.
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The 2012 SESAME Multimedia Event Detection (MED) and Multimedia Event Recounting (MER) Systems
The SESAME team submitted four runs for the MED12 pre-specified events, two runs for the ad hoc events, and a run for multimedia event recounting.
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Association Between Daily Cigarette Consumption and Hypertension Moderated by CYP2A6 Genotypes in Chinese Male Current Smokers
The purpose of this study was to assess whether cytochrome P450 enzyme 2A6 (CYP2A6) genotypes moderate the association between smoking and hypertension.
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A Toolkit for the Design of Ambisonic Decoders
We discuss the issues involved and describe a set of tools for generating optimized decoder solutions for irregular loudspeaker arrays and demonstrate those tools with practical examples.
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Photoimmobilization of Saccharides
We review a versatile photochemical method to carbohydrate immobilization that does not require premodification of the carbohydrate.
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Leveraging Psycholinguistic Resources and Emotional Sequence models for Suicide Note Emotion Annotation
We describe the submission entered by SRI International and UC Davis for the I2B2 NLP Challenge Track 2. Our system is based on a machine learning approach and employs a combination of lexical, syntactic, and psycholinguistic features. In addition, we model the sequence and locations of occurrence of emotions found in the notes. We discuss…
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Applying Learning Curves to Modeling Future Coal and Gas Power Generation Technologies
To forecast each of these competing technologies under various scenarios of electricity demand, fuel cost, and research investment, we created a Power Technology Futures Model (PTFM) based on “learning curves” methodology.
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Carbohydrate Antigen Microarrays
This chapter describes one of my laboratory’s working protocols for carbohydrate-based microarrays.
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Exact lifted inference with distinct soft evidence on every object
We show that both exact maximum a posteriori (MAP) and marginal inference can be lifted for the case of distinct soft evidence on a unary Markov Logic predicate.
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SRIUBC: simple similarity features for semantic textual similarity
We describe the systems submitted by SRI International and the University of the Basque Country for the Semantic Textual Similarity SemEval-2012 task.