Publications
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Automatic Linguistic Segmentation of Conversational Speech
We present a simple automatic segmenter of transcripts based on N-gram language modeling. We also study the relevance of several word-level features for segmentation performance. Using only word-level information, we…
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Using Crest Line to Guide Surface Reconstruction from Stereo
We propose an approach to interleave surface reconstruction from multiple images and feature extraction using object-centered representation optimized to conform to the surface shape.
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Modeling Pitch Range Variation Within and Across Speakers: Predicting F0 Targets when “Speaking Up”
We study F0 variation produced by "speaking up", as part of a larger study of pitch range variation within and across speakers. We provide a function to predict target F0…
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Unusual ribulose-1,5-bisphosphate carboxylase/oxygenase genes from a marine manganese-oxidizing bacterium
Initial DNA hybridization screening showed that SI85-9A1 possesses a gene similar to cbbL, the gene coding for the large subunit of ribulose-1,5-bisphosphate carboxylase/oxygenase (RubisCO; EC 4.1.1.39). However, no RubisCO enzyme activity was…
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Designing for Cognitive Communication: Epistemic Fidelity or Collaborative Inquiry?
This article examines the generalization of the mental model principle to communication of a system of concepts across worldviews.
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Stressed and Unstressed Pronouns: Complementary Preferences
I present a unified account of interpretation preferences of stressed and unstressed pronouns in discourse. The central intuition is the Complementary Preference Hypothesis that predicts the interpretation preference of a…
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VILTS: The Voice-Interactive Language Training System
ECHOS is a voice interactive language training system being developed to foster improvement in French comprehension and speaking skills, incorporating speech recognition and pronunciation evaluation.
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Netlearning: Why Teachers Use The Internet
This book addresses the educational benefits of connecting to the Internet and shows how various educators use Internet features to support their curriculum goals.
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Acoustic Adaptation Using Non-Linear Transformations of HMM Parameters
Speech recognition performance degrades significantly when there is a mismatch between testing and training conditions. Linear transformation-based maximum-likelihood (ML) techniques have been proposed recently to tackle this problem. In this…
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Segmenting Reactions to Improve the Behavior of a Planning/Reacting Agent
In this paper, we examine the problem of selecting the best set of reactions for an agent to store. In particular, we examine the benefit of including {em intervals} of…
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A Maximum-Likelihood Approach to Stochastic Matching for Robust Speech Recognition
We present a maximum-likelihood(ML)stochastic matching approach to decrease the acoustic mismatch between a test utterance and a given set of speech models so as to reduce the recognition performance degradation…
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Scatter/Gather Browsing Communicates The Topic Structure Of A Very Large Text Collection
Users are presented with automatically computed summaries of the contents of clusters of similar documents and provided with a method for navigating through these summaries at different levels of granularity.…