Author: SRI International
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Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech
We describe a statistical approach for modeling dialogue acts in conversational speech, i.e., speech-act-like units such as Statement, Question, Backchannel, Agreement, Disagreement, and Apology. Our model detects and predicts dialogue acts based on lexical, collocational, and prosodic cues, as well as on the discourse coherence of the dialogue act sequence.
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Measuring the Self-Consistency of Stereo Algorithms
A new approach to characterizing the performance of point-correspondence algorithms is presented. Instead of relying on any “ground truth”, it uses the self-consistency of the outputs of an algorithm independently applied to different sets of views of a static scene.
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Interactions of DnaA proteins from distantly related bacteria with the replication origin of the broad host range plasmid RK2
In this study we compared the interactions of oriV with five different DnaA proteins.
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Word-Level Rate of Speech Modeling Using Rate-Specific Phones and Pronunciations
We propose to use rate-specific phone models and pronunciations for ROS modeling at the word level. Words are given three types of pronunciations — fast, slow, and medium — consisting of rate-specific phone models, respectively. This approach allows us to model within-sentence rate variation.
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Detecting Changes in 3-d Shape using Self-Consistency
A novel image-matching measure based on Minimum Description Length (MDL) theory allows us to estimate the accuracy of individual elements of the 3- D model. Experiments to demonstrate the utility of the procedure are presented.
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Multiple-Target Tracking and Data Fusion via Probabilistic Mapping
A new approach is taken to address the various aspects of the multi-sensor, multi-target tracking (MTT) problem in dense and noisy environments. Instead of fixing the trackers on the potential targets as the conventional tracking algorithms do, this new approach is fundamentally different in that an array of parallel-distributed ātrackersā is laid in the search…
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National Early Intervention Longitudinal Study (NEILS): Family Enrollment Interview
For the SRI-led National Early Intervention Longitudinal Study (NEILS), telephone interviews were conducted with families to obtain information about child and family characteristics, etc.
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National Early Intervention Longitudinal Study (NEILS): Family Interim Interview
For the SRI-led National Early Intervention Longitudinal Study (NEILS), telephone interviews were conducted with families to obtain information about child and family characteristics, child functioning, and familiesā perceptions of services.
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National Early Intervention Longitudinal Study (NEILS): Family Transition Interview
For the SRI-led National Early Intervention Longitudinal Study (NEILS) by RTI International, telephone interviews were conducted with families to obtain information about child and family characteristics, child functioning, and familiesā perceptions of services.
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Determining the three-dimensional morphology of Ī³ā²-particles in Ī³-Ī³ā² superalloys
We propose qualitative and quantitative methods for determining the three-dimensional morphology of second-phase particles in Ni-based superalloys in the late stages of coarsening.
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Measuring Students’ Environmental Awareness And Skill In Data Analysis And Interpretation: Designing Web-Based Assessment For The Globe Program
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MAESTRO: Conductor of Multimedia Analysis Technologies
MAESTRO is a research and demonstration system developed at SRI International for exploring the contribution of a variety of analysis technologies