Speech Recognition of Oral English Teaching Based on Deep Belief Network

Authors

  • Jianmei Wang English Department in Taiyuan University, Taiyuan 030000, China

DOI:

https://doi.org/10.3991/ijet.v15i10.14041

Abstract


The oral English teaching faces several common problems: the teaching method is very inefficient, and the learners are poor in oral English. The development of computer-aided language learning offers a possible solution to these problems. Based on techniques of speech recognition, cloud computing and deep learning, this paper applies the deep belief network (DBN) to recognize the speeches in oral English teaching, and establishes a multi-parameter evaluation model for the pronunciation quality of oral English among college students. The model combines the merits of subjective and objective evaluations, and assesses the pronunciation from four aspects: pitch, speech rate, rhythm and intonation. Finally, the proposed model was verified through speech recognition and pronunciation evaluation experiments on 26 non-English majors from a college. The results show that the proposed evaluation model output credible results, which are consistent with those of experts, as evidenced by consistency, neighbourhood consistency and Pearson correlation coefficient. The research provides a feasible way to evaluate the oral English proficiency of learners, laying the basis for improving the teaching and learning efficiency of oral English.

Author Biography

Jianmei Wang, English Department in Taiyuan University, Taiyuan 030000, China

Jianmei Wang, female, born in July 1979, master of arts, foreign linguistics and applied linguistics. At present, I am working as an associate professor in taiyuan university. Has been teaching English courses for more than 6 years, including college English courses and CAT. He has published many papers and works on foreign linguistics and applied linguistics in English teaching and translation, and has presided over many state-level scientific research projects and municipal projects.

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Published

2020-06-01

How to Cite

Wang, J. (2020). Speech Recognition of Oral English Teaching Based on Deep Belief Network. International Journal of Emerging Technologies in Learning (iJET), 15(10), pp. 100–112. https://doi.org/10.3991/ijet.v15i10.14041

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Section

Papers