Intelligent learning assistants help oversea students ask questions

Authors

  • Yi Yu

DOI:

https://doi.org/10.54097/hset.v9i.1863

Keywords:

mobile application, machine translation, Automatic Speech Recognition.

Abstract

 With the development of the economy and the advancement of technology, as well as the positive effects of economic globalization, more and more students are choosing to study abroad. However, for overseas students who are not very fluent in language communication, it will be troublesome, not only for the understanding of the lesson, but also in the communication with the instructors and professors there are great obstacles, in order to stimulate the economy of study abroad, in order to make the students have less difficulties with the teachers in academic research, to achieve the real sense of barrier-free communication, and to improve the academic performance, we use automatic speech recognition (ASR) technology as a template and basic framework. In order to stimulate the economy of study abroad and to make it less difficult for students to communicate with teachers in academic research and to improve their academic performance, we designed an application for automatic speech recognition and language conversion language simplification by using ASR as a template and a basic framework, respectively.

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References

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Published

30-09-2022