Author: SRI International
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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 values in this “raised” mode from F0 values at corresponding locations in speech produced in a neutral mode.
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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 found in cultures of SI85-9A1.
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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 stressed pronoun from that of an unstressed pronoun in the same discourse position.
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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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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 caused by distortions in the test utterance and/or the model set.
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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 reactions i.e., executing some reactions only across segments of the complete numeric ranges over which they are defined.
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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 paper, we extend this approach to use nonlinear transformations.
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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. The aim of the technique is to communicate information about the topic structure of very large collections.
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Agent Development Tools for the Open Agent Architecture
The ADT provides a variety of mechanisms that support the specification and implementation of individual agents, as well as cooperating communities of agents. This paper discusses a number of general requirements that were identified for agent development environments, reports on the design and functionality of the ADT, and shows how the ADT addresses those requirements.