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A Recognition Method Based on Speech Feature Parameters-English Teaching Practice

Author

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  • Lili Zhu
  • Xiujing Yan
  • Jing Wang
  • Wei Liu

Abstract

In order to improve the effect of English teaching practice, this paper constructs an intelligent English phonetic teaching system combined with the method of phonetic feature parameter recognition. Moreover, this paper simulates the self-mixing interference signal containing noise by establishing a simulation, analyzes the size of the noise and its various possibilities, and selects the EEMD method as the English speech denoising algorithm. In addition, with the support of an intelligent denoising algorithm, this paper implements an English intelligent teaching system based on the recognition algorithm of English speech feature parameters. Finally, this paper evaluates the teaching effect of the intelligent English speech feature recognition algorithm proposed in this paper and the intelligent teaching system of this paper by means of simulation teaching. The research shows that the English teaching system based on the intelligent speech feature recognition algorithm proposed in this paper has a good effect.

Suggested Citation

  • Lili Zhu & Xiujing Yan & Jing Wang & Wei Liu, 2022. "A Recognition Method Based on Speech Feature Parameters-English Teaching Practice," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, April.
    • Handle: RePEc:hin:jnlmpe:2287468
    DOI: 10.1155/2022/2287468
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