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A Multistrategy Approach to Improving Pronunciation by Analogy     Analogy  Improving Pronunciation       font style='font-size:12px;'> 2015/8/25
Pronunciation by analogy (PbA) is a data-driven method for relating letters to sound, with potential application to next-generation text-to-speech systems. This paper extends previous work on PbA in...
Visual word recognition and pronunciation:A computational model of acquisition,skilled performance,and dyslexia.
A Computer-Assisted Pronunciation Training (CAPT) system can provide greater benefit to language learners if it provides not only scoring but also corrective feedback. However, the process of deriving...
In this paper, we present preliminary results on applying a comparison-based framework to the task of pronunciation scoring. The comparison-based system works by aligning a student’s utterance with a ...
Learning Lexicons from Speech using a Pronunciation Mixture Model.
This paper explores the use of continuous speech data to learn stochastic lexicons. Building on previous work in which we augmented graphones with acoustic examples of isolated words, we extend our pr...
Articulatory feature models have been proposed in the automatic speech recognition community as an alternative to phone-based models ofspeech. In this paper, we extend this approach to the visual moda...

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