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Home » Archives for Jennifer Smith
Jennifer Smith

Jennifer Smith

Computer Scientist II, Speech Technology and Research Laboratory
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Publications

Information & computer science publications April 17, 2020

Speech‐based markers for post traumatic stress disorder in US veterans

Andreas Tsiartas, Colleen Richey, Jennifer Smith, Bruce Knoth, Dimitra Vergyri

This study demonstrates that a speech-based algorithm can objectively differentiate PTSD cases from controls.

Speech & natural language publications June 1, 2019 Whitepaper

Mapping Individual to Group Level Collaboration Indicators Using Speech Data

Jennifer Smith, Nonye M. Alozie, Andreas Tsiartas, Colleen Richey, Harry Bratt

Automatic detection of collaboration quality from the students’ speech could support teachers in monitoring group dynamics, diagnosing issues, and developing pedagogical intervention plans.

School and district reform publications April 1, 2018

Crowdsourcing Emotional Speech

Jennifer Smith, Andreas Tsiartas

We describe the methodology for the collection and annotation of a large corpus of emotional speech data through crowdsourcing.

Speech & natural language publications March 1, 2017

Analysis and prediction of heart rate using speech features from natural speech

Jennifer Smith, Andreas Tsiartas, Andreas Kathol, Massimiliano de Zambotti

We predict HR from speech using the SRI BioFrustration Corpus.In contrast to previous studies we use continuous spontaneous speech as input.

Education & learning publications September 1, 2016

Privacy- preserving speech analytics for automatic assessment of student collaboration

Nonye M. Alozie, Jennifer Smith, Harry Bratt, Colleen Richey, Andreas Tsiartas

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 math problems.

Education & learning publications June 1, 2016

Spoken Interaction Modeling for Automatic Assessment of Collaborative Learning

Jennifer Smith, Harry Bratt, Colleen Richey, Andreas Tsiartas, Nonye M. Alozie

This study investigates whether automatic audio- based monitoring of interactions can predict collaboration quality.

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