Publications
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An Efficient Repair Procedure For Quick Transcriptions
The procedure we propose in this paper aims to em cleanse/ such quick transcriptions so that they align better with the acoustic evidence and thus provide for better acoustic models…
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Finding Consensus in Speech Recognition: Word Error Minimization and Other Applications of Confusion Networks
We describe a new framework for distilling information from word lattices to improve the accuracy of speech recognition and obtain a more perspicuous representation of a set of alternative hypotheses.
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Machine Learning Techniques for the Identification of Cues for Stop Place
This paper is situated in a long line of phonetic studies that seek to determine and qualify the acoustic cues humans use to identify stop place. The present study draws…
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Prosodic Features for Automatic Text-Independent Evaluation of Degree of Nativeness for Language Learner
Predicting the degree of nativeness of a student's utterance is an important issue in computer-aided language learning.
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The Multimedia Challenge
The Belmont Then and Now project, completed in 2000 by three 3rd grade classes from Central Elementary, helps put Belmont's changes over the past 150 years in perspective.
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Consonant Discrimination in Elicited and Spontaneous Speech: A Case for Signal-Adaptive Front Ends in ASR
This work investigates an approach to add back such transient information to a speech recognizer, without losing the robustness of the standard acoustic models. We demonstrate a set of phonetically-motivated…
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Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech
We describe a statistical approach for modeling dialogue acts in conversational speech, i.e., speech-act-like units such as Statement, Question, Backchannel, Agreement, Disagreement, and Apology. Our model detects and predicts dialogue…
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Automatic Generation of Compact Programs and Virtual Machines for Scheme
We use a combination of techniques to automatically generate new instructions and new compact encodings for virtual instructions.
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Do Technology Investments Pay Off? The Evidence Is In!
In a 5-year evaluation of the $6.6 million Challenge 2000 Multimedia Project, technology-using students surpassed nonparticipating peers in developing critical 21st-century job skills.
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Effects of Speech Recognition-based Pronunciation Feedback on Second-Language Pronunciation Ability
This study's goal was to determine whether receiving a particular type of feedback on nativeness of second-language accent positively influenced pronunciation over time.
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The SRI EduSpeak(TM) System: Recognition and Pronunciation Scoring for Language Learning
The EduSpeak(TM) system is a software development toolkit that enables developers of interactive language education software to use state-of-the-art speech recognition and pronunciation scoring technology.
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Structured Argumentation for Analysis
We are developing a new methodology that retains the ease-of-use, familiarity, and (some of) the free-form nature of informal methods, while benefiting from the rigor, structure, and potential for automation…