Author: Harry Bratt
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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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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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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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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.
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Adaptive and Discriminative Modeling for Improved Mispronunciation Detection
In the context of computer-aided language learning, automatic detection of specific phone mispronunciations by nonnative speakers can be used to provide detailed feedback about specific pronunciation problems.
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Lexical Stress Classification for Language Learning Using Spectral and Segmental Features
We present a system for detecting lexical stress in English words spoken by English learners. The system uses both spectral and segmental features to detect three levels of stress for each syllable in a word.
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Promoting robustness for speaker modeling in the community: the PRISM evaluation set
We introduce a new database for evaluation of speaker recognition systems.
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EduSpeak®: A Speech Recognition and Pronunciation Scoring Toolkit for Computer-Aided Language Learning Applications
SRI International’s EduSpeak® system is a SDK that enables developers of interactive language education software to use state-of-the-art speech recognition and pronunciation scoring technology.
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Effects of Vocal Effort and Speaking Style on Text-Independent Speaker Verification
We study the question of how intrinsic variations (associated with the speaker rather than the recording environment) affect text-independent speaker verification performance.
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MUESLI: Multiple utterance error correction for a spoken language interface
We propose a method for using all available information to help correct recognition errors in tasks that use constrained grammars of the kind used in the domain of Command and Control (CC) systems.