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This paper concerns the application of glottal models and closed-phase analysis to the problem of speaker recognition. A glottal model based on one originally proposed by Fujisaki and Ljungqvist was used in conjunction with closed-phase analysis to yield features for a speaker recognition system used in the NIST 2003 Speaker Recognition Evaluation. Scores(More)
Research efforts focused on developing "active reports" are currently underway. Active reports are designed to foster communication among teachers, students, and parents by listening to all stakeholders, using assessment information to guide teaching and learning, and to reconcile potential conflicts. Open student models can handle different views of the(More)
The purpose of the study described in this paper was to evaluate the efficacy of an assessment for learning system named ACED (Adaptive Content with Evidence-based Diagnosis). We used an evidence-centered design approach to create an adaptive, diagnostic assessment system which includes five main models: competency, evidence, task, presentation, and(More)
This paper compares three approaches to building phoneme-specific Gaussian mixture model (GMM) speaker recognition systems on the NIST 2003 Extended Data Evaluation to a baseline GMM system covering all of the phonemes. The individual performance of any given phoneme-specific GMM system falls below the performance of the baseline GMM, but fusing the top 40(More)
This paper describes the MIT-LL/AFRL statistical MT system and the improvements that were developed during the IWSLT 2012 evaluation campaign. As part of these efforts, we experimented with a number of extensions to the standard phrase-based model that improve performance on the Arabic to English and English to French TED-talk translation task. We also(More)
This paper describes the MIT-LL/AFRL statistical MT system and the improvements that were developed during the IWSLT 2011 evaluation campaign. As part of these efforts, we experimented with a number of extensions to the standard phrase-based model that improve performance on the Arabic to English and English to French TED-talk translation tasks. We also(More)
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