Author: SRI International
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Tides: Report On Technical Quality Of 7th Grade Student Assessment
This report describes activities undertaken to create, pilot, and analyze technical quality of student assessments in seventh grade for the Transforming Instruction by Design in Earth Science (TIDES) project.
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Improvements in MLLR-Transform-based Speaker Recognition
We previously proposed the use of MLLR transforms derived from a speech recognition system as speaker features in a speaker verification system. In this paper we report recent improvements to this approach.
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A Study of Intentional Voice Modifications for Evading Automatic Speaker Recognition
We investigate the effect of intentional voice modifications on a state-of-the-art speaker recognition system. The investigation includes data collection, where normal and changed voices are collected from subjects conversing by telephone.
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Information scent and Web navigation: theory, models and automated usability evaluation
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The Contribution of Cepstral and Stylistic Features to SRI’s 2005 NIST Speaker Recognition Evaluation System
Recent work in speaker recognition has demonstrated the advantage of modeling stylistic features in addition to traditional cepstral features, but to date there has been little study of the relative contributions of these different feature types to a state-of-the-art system. In this paper we provide such an analysis, based on SRI’s submission to the NIST…
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Early College High School Initiative: 2003-2005 Evaluation Report
This report is the second annual synthesis report on the national evaluation of the Bill & Melinda Gates Foundation ’s Early College High School Initiative (ECHSI). The foundation established the vision for the ECHSI. At its most basic, this vision is summarized in a set of Core Principles, which includes the requirements that ECHSs provide…
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Compositionality for Tightly Coupled Systems: a New Application of the Propositions-As-Types Interpretation
Although compositional techniques are being successfully employed in practice, the use of such techniques is often rather informal and intuitive, and typically a justification for correct behaviour of the composed system exists but is not expressed explicitly. In this paper, we show what can be gained from treating such justifications as first-class citizens.
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Report On Technical Quality Of 6th And 8th Grade Student Assessments For The Tides Project
This report describes activities undertaken to create, pilot, and analyze technical quality of student assessments in sixth and eighth grades for the Transforming Instruction by Design in Earth Science (TIDES) project.
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Joint Segmentation and Classification of Dialog Acts in Multiparty Meetings
This paper investigates a scheme for joint segmentation and classification of dialog acts (DAs) of the ICSI Meeting Corpus based on hidden-event language models and a maximum entropy classifier for the modeling of word boundary types.
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Speech Recognition Engineering Issues in Speech-to-Speech Translation System Design for Low Resource Languages and Domains
This paper, using case studies of creating speech translation systems between English and languages such as Pashto and Farsi, describes some of the practical issues and the solutions that were developed for multilingual ASR development.
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Conflict Negotiation Among Personal Calendar Agents
We will demonstrate distributed conflict resolution in the context of personalized meeting scheduling. The demonstration will show how distributed constraint optimization can be used to facilitate interaction between cognitive agents and their users. The system is part of the CALO personal cognitive assistant that will also be explored during the demonstration.
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Generalized Linear Kernels for One-Versus-All Classification: Application to Speaker Recognition
In this paper, we examine the problem of kernel selection for one-versus-all (OVA) classification of multiclass data with support vector machines (SVMs). We focus specifically on the problem of training what we refer to as generalized linear kernels–that is, kernels of the form, k(x_1,x_2) = x_1^T R x_2, where R is a positive semidefinite matrix.