Abstract
The relevance of the research is caused by the need of application of speech recognition technology for language teaching. The speech recognition is one of the most important tasks of the signal processing and pattern recognition fields. The speech recognition technology allows computers to understand human speech and it plays very important role in people’s lives. This technology can be used to help people in a variety way such as controlling smart homes and devices; using robots to perform job interviews; converting audio into text, etc. But there are not many applications of speech recognition technology in education, especially in English teaching. The main aim of the research is to propose an algorithm in which speech recognition technology is used English language teaching. Objects of researches are speech recognition technologies and frameworks, English spoken sounds system. Research results: The authors have proposed an algorithm based on speech recognition framework for English pronunciation learning. This proposed algorithm can be applied to another speech recognition framework and different languages. Besides the authors also demonstrated how to use the proposed algorithm for development English pronunciation practicing system based on iOS mobile app platform. The system also allows language learners can practice English pronunciation anywhere and anytime without any purchase.
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Phan, N.H., Bui, T.T.T., Spitsyn, V.G. (2019). Development English Pronunciation Practicing System Based on Speech Recognition. In: Vinh, P., Rakib, A. (eds) Context-Aware Systems and Applications, and Nature of Computation and Communication. ICCASA ICTCC 2019 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 298. Springer, Cham. https://doi.org/10.1007/978-3-030-34365-1_12
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