Publications
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Modeling Prosodic Feature Sequences for Speaker Recognition
We describe a novel approach to modeling idiosyncratic prosodic behavior for automatic speaker recognition.
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Angler: Collaboratively Expanding your Cognitive Horizon
The tool helps the group through the process of forming consensus, while preserving and quantifying differing ways of thinking. Angler provides a Web-based collaborative environment that allows users distributed by…
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Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov model
We introduce the Switching Hidden Semi-Markov Model (S-HSMM), a two-layered extension of the hidden semi-Markov model (HSMM) for the modeling task.
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Scaling Up Technology-Based Educational Innovations
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Teaching With Student Response System Technology: A Survey Of K-12 Teachers
The current questionnaire study is a first step toward understanding how teachers in K-12 settings integrate student response systems into their teaching.
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Rigor, Relevance, And Results: The Quality Of Teacher Assignments And Student Work In New And Conventional High Schools
The Bill & Melinda Gates Foundation’s High School Grants initiative seeks to catalyze the creation of a new kind of American high school—one where every student has a challenging academic…
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Liquid-phase deposition of single-phase alpha-copper-indiumdiselenide,
Based on the first complete CuInSe phase diagram, which was recently established, we propose a new method for making single-phase copper-indium-diselenide (CuInSe2) films for high-specific-power photovoltaic applications: liquid-phase deposition.
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SVM Modeling of “SNERF-Grams” for Speaker Recognition
We describe a new approach to modeling idiosyncratic prosodic behavior for automatic speaker recognition. The approach computes prosodic features by syllable, and models the syllable-feature sequences using support vector machines…
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Effective Acoustic Modeling for Rate-of-Speech Variation in Large Vocabulary Conversational Speech Recognition
We investigate several variants of speech-rate-dependent acoustic models for large-vocabulary conversational speech recognition, in the framework of combining rate-specific models in decoding to compensate for speech rate variation.
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National Early Intervention Longitudinal Study (NEILS): Family Outcomes at the End of Early Intervention
The report has two primary aims: to describe the outcomes reported by families following their experience with early intervention programs, and to identify a subset of families who were less…
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On Using MLP Features in LVCSR
One of the major research thrusts in the speech group at ICSI is to use Multi-Layer Perceptron (MLP) based features in automatic speech recognition (ASR). This paper presents a study…
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Using Machine Learning to Cope with Imbalanced Classes in Natural Speech: Evidence from Sentence Boundary and Disfluency Detection
We investigate machine learning techniques for coping with highly skewed class distributions in two spontaneous speech processing tasks. Both tasks, sentence boundary and disfluency detection, provide important structural information for…