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SpeakEasy Pronunciation Trainer: Personalized Multimodal Pronunciation Training ...
Abstract: The primary goals of computer-assisted pronunciation training (CAPT) systems are to provide a personalized interactive environment and to accurately diagnose mispronunciations. Automatic speech recognition (ASR) systems have been shown to be an effective tool for diagnosing mispronunciations. While the data ASR systems output can be difficult for the layperson to understand, presenting it in a multimodal fashion can make it easier and feeding it into an automated narrative system can produce personalized feedback. In the absence of native speech examples, synthetic examples produced by text-to-speech (TTS) engines have proven to be an adequate substitute, making data collection easier and allowing for larger CAPT systems. In this work we present the SpeakEasy pronunciation trainer, a CAPT system that leverages ASR, TTS, automated narrative systems, and multimodal data representation to provide a personalized interactive environment that tracks a user's progress over time. ...
Keyword: Cognitive Linguistics; Cognitive Science; Computational Intelligence; Computational Linguistics; E-Learning; Phonetics; Phonology; Semantics
URL: https://dx.doi.org/10.48448/aa25-n461
https://underline.io/lecture/26896-speakeasy-pronunciation-trainer-personalized-multimodal-pronunciation-training
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SpeakEasy Pronunciation Trainer: Personalized Multimodal Pronunciation Training ...
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What interventions can decrease or increase belief polarisation in a population of rational agents? ...
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Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners ...
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The Mystery of Early Taxonomic Development ...
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Reflected Boundary Drift Diffusion Model: A Double Responding Framework for Go/No-Go Paradigm ...
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Modelling the Sense-Making of Diagrams Using Image Schemas ...
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Are Explicit Frequency Counters Necessary in Computational Models of Early Word Segmentation? ...
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How hard is cognitive science? ...
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Are people still smarter than machines? If so, why? ...
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The Mystery of Early Taxonomic Development ...
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How hard is cognitive science? ...
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Can Children use Numerical Reasoning to Compare Odds in Games? ...
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Modeling "spatial purport of perceptual experience": egocentric space perception in a semi-realistic 3D virtual environment ...
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Statistical properties of the speed-accuracy trade-off (SAT) paradigm in sentence processing ...
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Investigating the Utility of Prompting Novice Programmers for Self-Explanations to Improve Mental Models ...
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Statistical properties of the speed-accuracy trade-off (SAT) paradigm in sentence processing ...
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18
Modelling the Sense-Making of Diagrams Using Image Schemas ...
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Reflected Boundary Drift Diffusion Model: A Double Responding Framework for Go/No-Go Paradigm ...
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Can Children use Numerical Reasoning to Compare Odds in Games? ...
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