Publications
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Exploring the role of phonetic bottleneck features for speaker and language recognition
Using bottleneck features extracted from a deep neural network (DNN) trained to predict senone posteriors has resulted in new, state-of-the-art technology for language and speaker identification.
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Noise and reverberation effects on depression detection from speech
This study compares the effect of noise and reverberation on depression prediction using standard mel-frequency cepstral coefficients, and features designed for noise robustness, damped oscillator cepstral coefficients.
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Analyzing the effect of channel mismatch on the SRI language recognition evaluation 2015 system
We present the work done by our group for the 2015 language recognition evaluation (LRE) organized by the National Institute of Standards and Technology (NIST).
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Spoken Interaction Modeling for Automatic Assessment of Collaborative Learning
This study investigates whether automatic audio- based monitoring of interactions can predict collaboration quality.
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Extending Semantically Enabled Virtual Environments for Training Assessment
This paper reports the lessons learned from several recent research and development projects, and offers some directions for new studies that build on this work.
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A Phonetically Aware System for Speech Activity Detection
In this paper, we focus on a dataset of highly degraded signals, developed under the DARPA Robust Automatic Transcription of Speech (RATS) program.
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Additive Manufacturing: Re-thinking Battery Design
In this article we focus on recent advances in additive manufacturing for batteries and highlight current and future research directions for battery design, manufacturing, and integration for small, portable and…
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Engaging teachers in supporting next generation STEM learning
To accelerate dissemination of educator learning models in ITEST projects, the ITEST program has called for reflection on best practices and lessons learned. In this paper, we take a closer…
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Time, Frequency & Complexity Analysis for Recognizing Panic States from Physiologic Time-Series
This paper presents results of analysis performed on a physiologic time-series dataset that was collected from a wearable ECG monitoring system worn by individuals who suffer from panic disorder.
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MASTerful Matchmaking in Service Transactions: Inferred Abilities, Needs and Interests versus Activity Histories
We present an experiment involving data and participants from a real timebanking network, that evaluates the acceptability of MAST, and shows that such an algorithm can retrieve matches that are…
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Pattern of life analysis for diverse data types
SRI has developed a system to automatically analyze the Pattern of Life of ports, routes and vessels from a large collection of AIS data. The PoL of these entities are…
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Analyzing hyperspectral images into multiple subspaces using Gaussian mixture models
I argue that the spectra in a hyperspectral datacube will usually lie in several low-dimensional subspaces, and that these subspaces are more easily estimated from the data than the endmembers.