SRI International
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Designing Networked Handheld Devices To Enhance School Learning
We begin by discussing a simple but important factor: networked handhelds can allow a 1:1 student: device ratio for the first time, enabling ready-at-hand access to technology throughout the school day and throughout the learner’s personal life.
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Microstructure foundations of high carrier mobility in polymers
We combine complementary microstructure measurements including polarized absorption spectroscopies (infrared, visible, and X-ray), scanning probe techniques, and X-ray diffraction (XRD) to investigate the microstructure details of polymer semiconductors for organic thin film transistors (OTFTs).
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Comparing theory and hypotheses to electric force microscope data: are we thinking about injection, trapping, and transport correctly in organic electronic materials?
In this talk we will show that ultrasensitive cantilevers can likewise measure the local charge diffusion constant via the effect of the associated electric field fluctuations on cantilever frequency and ringdown time.
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Reliability of Adult Retrospective Recall of Lifetime Tobacco Use
The present analyses examined the test–retest reliability of retrospective tobacco use measures, including details of first use, circumstances of first use, and initial subjective reactions.
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Speech Recognition as Feature Extraction for Speaker Recognition
We present specific techniques and results from SRI’s NIST speaker recognition evaluation system.
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Studying how mobile computing with tablet PCs supports school and classroom changes in Singapore
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Towards Live Informing and Automatic Analyzing of Student Learning: Reporting in the Assistment System
In this article we describe the types of reports that we have designed and implemented that provide real time reporting to teachers in their classrooms. Experiment analysis tools are available to facilitate researchers to carry out randomized controlled learning experiments so that they are able to compare different tutoring strategies.
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Parameterization of Prosodic Feature Distributions for SVM Modeling in Speaker Recognition
This paper explores the important question of finding a good kernel for a system that models syllable-based prosodic features using support vector machines (SVMs). We introduce two new methods for transforming the syllable-level features into a single high-dimensional vector that can be well modeled by SVMs, resulting in significant gains in speaker recognition performance.
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Precise Visual Navigation Using Multi-Stereo Vision and Landmark Matching
In this paper, we propose a set of techniques which greatly reduce the long term drift and also improve its robustness to many failure conditions.
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Caregiver Descriptions of the Developmental Skills of Infants and Toddlers Entering Early Intervention Services
The present study was conducted to describe the developmental skills of a national sample of infants and toddlers at entry into early intervention services.
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Combining Discriminative Feature, Transform, and Model Training for Large Vocabulary Speech Recognition
This paper uses a state-of-the-art Mandarin recognition system as a platform to study the interaction of three techniques. Experiments in the broadcast news and broadcast conversation domains show that the contribution of each technique is nonredundant.
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Noise Robust Speaker Identification for Spontaneous Arabic Speech
We present an approach that integrates multiple components and models for improved speaker identification in spontaneous Arabic speech in adverse acoustic conditions.