Publications
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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…
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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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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…
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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…
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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…
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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…
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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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Deductive Biocomputing
We describe a deduction-based approach to biocomputation that semiautomatically combines knowledge, software, and data to satisfy goals expressed in a high-level biological language.