Senior Computer Scientist, Speech Technology and Research Laboratory
Harry Bratt is a senior computer scientist in SRI International’s Speech Technology and Research Laboratory. With a background in computer science and linguistics—focusing on phonetics and phonology—his research interests extend across human-machine interaction, spoken language systems, and computer-assisted language learning.
He has been a major contributor to the EduSpeak® Speech Recognition Toolkit and has built several GUI-based tools to help speech researchers process, analyze, and visualize data.
Bratt holds an A.B. in linguistics from the University of Michigan.
Recent publications
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Mapping Individual to Group Level Collaboration Indicators Using Speech Data
To address the challenge of mapping characteristics of individuals’ speech to information about the group, we coded behavioral and learning-related indicators of collaboration at the individual level.
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Toward human-assisted lexical unit discovery without text resources
This work addresses lexical unit discovery for languages without (usable) written resources.
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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 math problems.
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The SRI speech-based collaborative learning corpus
We introduce the SRI speech-based collaborative learning corpus, a novel collection designed for the investigation and measurement of how students collaborate together in small groups.
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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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Classification of Lexical Stress Using Spectral and Prosodic Features for Computer-assisted Language Learning Systems
We present a system for detection of lexical stress in English words spoken by English learners. This system was designed to be part of the EduSpeak® computer-assisted language learning (CALL) software.