Publications
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Model Adaptation for Sentence Segmentation from Speech
This paper analyzes various methods to adapt sentence segmentation models trained on conversational telephone speech (CTS) to meeting style conversations. The sentence segmentation model trained using a large amount of…
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Teaching and California’s Future: California’s Teaching Force 2006: Key Issues and Trends
This annual report discusses trends in the supply, demand, and distribution of California teachers; details the impact of state policy changes on the teacher development system; and highlights themes that…
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A Case Study in Engineering a Knowledge Base for an Intelligent Personal Assistant
We present a case study in engineering a large knowledge base (KB) to meet the requirements of a personal assistant. We discuss our KB development methodology and the engineering challenges…
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Presentation of Information for Link Analysis
SRI's LAW (Link Analysis Workbench) is a system that helps intelligence analysts detect occurrences of situations of interest by finding pattern instances in vast amounts of data using graph edit…
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Localization in Horizontal-Only Ambisonic Systems
We test the localization of horizontal-only Ambisonic reproduction systems using various test signals to separately evaluate low-frequency and mid-frequency localization.
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Infusing IT/STEM Skill Standards in Informal ITEST Learning
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A Study in Machine Learning from Imbalanced Data for Sentence Boundary Detection in Speech
We have constructed a hidden Markov model (HMM) system to detect sentence boundaries that uses both prosodic and textual information. Since there are more non-sentence boundaries than sentence boundaries in…
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Morphology-based Language Modeling for Conversational Arabic Speech Recognition
In this paper, we investigate improvements in Arabic language modeling by developing various morphology-based language models. We present four different approaches to morphology-based language modeling, including a novel technique called…
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Posture-based data protection
We introduce Posture-Based Data Protection (PBDP), which encrypts data using keys available to a device only when it has been verified to be in a known good state, and has…
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Speaker Clustered Regression-Class Trees for MLLR Adaptation
A speaker clustering algorithm is presented that is based on an eigenspace representation of Maximum Likelihood Linear Regression (MLLR) transformations and is used for training cluster-dependent regression-class trees for MLLR…
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Within-Class Covariance Normalization for SVM-based Speaker Recognition
This paper extends the within-class covariance normalization (WCCN) technique described for training generalized linear kernels.
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Investigation on Mandarin Broadcast News Speech Recognition
This paper describes our efforts in building a competitive Mandarin broadcast news speech recognizer. We present two novel algorithms in smoothing pitch features and segmenting Chinese characters into word units.