Author: SRI International
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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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Designing For Design Learning
This paper highlights the need for a science of design to address the needs of technology design learners.
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Assessing Students. Performance Longitudinally: Item Difficulty Parameter Vs. Skill Learning Tracking
We are engaged in an effort to investigate if we can do a better job of predicting a large scale test (MCAS) by modeling individual skills in different grain-sized skill models than by using item difficulty parameters induced from traditional Item Response Theory models, on which computer adaptive testing relies.
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NAP and WCCN: Comparison of Approaches Using MLLR-SVM Speaker Verification System
We compare two recently proposed techniques, within class covariance normalization (WCCN) [1] and nuisance attribute projection (NAP) [2], for intersession variability compensation in speaker verification.
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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.
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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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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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Statistical Sentence Extraction for Information Distillation
In this paper, we present a statistical sentence extraction approach for distillation. Basically, we frame this task as a classification problem, where each candidate sentence in documents is classified as relevant to the query or not.
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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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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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Unsupervised Language Model Adaptation for Meeting Recognition
We present an application of unsupervised language model (LM) adaptation to meeting recognition, in a scenario where sequences of multiparty meetings on related topics are to be recognized, but no prior in-domain data for LM training is available.
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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.