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Title

Using the Capacities of Artificial Intelligence in Teaching Pronunciation of Foreign Languages

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Abstract

 To convey complex concepts through speech, learning intelligible pronunciation is essential, which has become more attainable and widespread with the help of modern approaches derived from computer science. Although natural language processing has been widely used in computer science and Human-Computer communication, its applications in the field of learning and teaching the pronunciation of foreign language words have been largely ignored. In this study, we examine to what extent the implementation of E-learning approaches coupled with Automatic Speech Recognition using trained Artificial Intelligence helps to understand the progress of language learners' pronunciation skills. For this purpose, 93 English words were selected for pronunciation training in 18 sessions. A common list of 30 words was examined in two experimental groups in two stages of pre-test and post-test to evaluate the improvement of pronunciation of language learners. The information obtained by the language learners was recorded and saved in the form of audio files before and after the teaching process. It was then assessed by Automatic Speech Recognition technology. The results conveyed through Automatic Speech Recognition showed the improvement of word pronunciation skills in the training course.

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    APA: Copy

    Sabouri, Sepehr, & Hajmalek, Mohammad Mahdi. (). . . SID. https://sid.ir/paper/1046836/en

    Vancouver: Copy

    Sabouri Sepehr, Hajmalek Mohammad Mahdi. . . Available from: https://sid.ir/paper/1046836/en

    IEEE: Copy

    Sepehr Sabouri, and Mohammad Mahdi Hajmalek, “,” presented at the . , [Online]. Available: https://sid.ir/paper/1046836/en

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