Publications
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Diagnosing PARC’s Refrigerator Benchmark with Data-Driven Methods
Diagnosing real-world systems is a challenging task due to, e.g., complexity, measurement error and lack of control in experimentation.
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Professional Development to Support Instructional Improvement: Lessons from Research
This paper acknowledges the issue of nonstrategic use of professional development resources and describes lessons from research on how professional development could be better designed to achieve desired impacts on…
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Thermal insulator transition induced by interface scattering
We develop an effective medium model of thermal conductivity that accounts for both percolation and interface scattering.
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What it takes to create linked learning: A report on lessons learned from evaluating the approach in practice
The evaluation has surfaced a set of strategies that promote successful implementation of Linked Learning by both school districts and individual pathways.
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Electron beam pumping for high power deep-UV emitters
This presentation will discuss the challenges, illustrate the current status of materials/device development, and describe the necessary building blocks, which include highly conductive p-type cladding layers, sophisticated electron-blocking layers, and…
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Polymer Spray Deposition: A Novel Aerosol-Based, Electrostatic Digital Deposition System for Additive Manufacturing
In order to create a feedstock aerosol for electrostatic deposition, PARC has developed the filament extension atomizer (FEA) which is capable of producing monodisperse small droplets from thermoplastics.
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Issue Brief: Early Warning Systems
The brief describes early warning systems as a dropout prevention strategy based on a nationally representative sample of more than 2,000 U.S. public high schools.
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Privacy- preserving speech analytics for automatic assessment of student collaboration
This work investigates whether nonlexical information from speech can automatically predict the quality of small-group collaborations. Audio was collected from students as they collaborated in groups of three to solve…
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Coping with Unseen Data Conditions: Investigating Neural Net Architectures, Robust Features, and Information Fusion for Robust Speech Recognition
This work investigates the performance of traditional deep neural networks under varying acoustic conditions and evaluates their performance with speech recorded under realistic background conditions that are mismatched with respect…
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The 2016 Speakers in the Wild Speaker Recognition Evaluation
This article provides details of the SITW speaker recognition challenge and analysis of evaluation results. We provide an analysis of some of the top performing systems submitted during the evaluation and…
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The SRI CLEO Speaker-State Corpus
We introduce the SRI CLEO (Conversational Language about Everyday Objects) Speaker-State Corpus of speech, video, and biosignals.
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Unsupervised Learning of Acoustic Units Using Autoencoders and Kohonen Nets
This work investigates learning acoustic units in an unsupervised manner from real-world speech data by using a cascade of an autoencoder and a Kohonen net.