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Developing Cued Pronunciation Readings for Latter-day Saint Missionaries Learning EnglishMueller, Holly A. 13 July 2010 (has links) (PDF)
The focus of this project was to develop self-directed pronunciation materials for a specialized group of English as a second language (ESL) learners—missionaries at the Provo Missionary Training Center (MTC) of The Church of Jesus Christ of Latter-day Saints. A set of six Cued Pronunciation Readings (CPRs) were developed. CPRs are computer-based, self-directed pronunciation materials designed to help students perceive pausing, word stress, and sentence-final intonation in spoken English and practice these features through a sequence of oral reading tasks. The CPRs developed in this project were based on essential missionary communicative tasks and utilized high-frequency gospel vocabulary. These tasks included saying set prayers, reciting relevant scripture passages, and bearing testimonies on gospel principles. These materials, originally developed in Microsoft PowerPoint, were converted for use in an MTC application called Assessment Tools. Following development, the materials were tested with a group of ESL missionaries in the Provo MTC. Fourteen missionaries used the materials during a three-week period. They were encouraged to spend 10–15 minutes each day in the computer lab working on the tasks. At the end of three weeks, a posttest survey was administered to obtain the missionaries' feedback. The missionaries' use of the materials and their reactions are discussed. Suggestions are given for the further development of similar materials and for further implementation of these materials at the MTC.
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Automatické hodnocení anglické výslovnosti nerodilých mluvčích / Automatic Pronunciation Evaluation of Non-Native English SpeakersGazdík, Peter January 2019 (has links)
Computer-Assisted Pronunciation Training (CAPT) is becoming more and more popular these days. However, the accuracy of existing CAPT systems is still quite low. Therefore, this diploma thesis focuses on improving existing methods for automatic pronunciation evaluation on the segmental level. The first part describes common techniques for this task. Afterwards, we proposed the system based on two approaches. Finally, performed experiments show significant improvement over the reference system.
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