The Improving Effect of Intelligent Speech Recognition System on English Learning

To improve the effect of English learning in the context of smart education, this study combines speech coding to improve the intelligent speech recognition algorithm, builds an intelligent English learning system, combines the characteristics of human ears, and studies a coding strategy of a psycho...

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Bibliographic Details
Published in:Advances in multimedia 2022-03, Vol.2022, p.1-13
Main Author: Luo, Qi
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Bandpass filters
Classification
Classrooms
Coding
Ear
Envelope detection
Experiments
Filter banks
Machine learning
Masking
Mathematical models
Methods
Multimedia
Neural networks
Psychoacoustics
Signal processing
Speech
Speech recognition
Teaching
Voice recognition
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Summary:To improve the effect of English learning in the context of smart education, this study combines speech coding to improve the intelligent speech recognition algorithm, builds an intelligent English learning system, combines the characteristics of human ears, and studies a coding strategy of a psychoacoustic masking model based on the characteristics of human ears. Moreover, this study analyzes in detail the basic principles and implementation process of the psychoacoustic model coding strategy based on the characteristics of the human ear and completes the channel selection by calculating the masking threshold. In addition, this study verifies the effectiveness of the algorithm in this study through simulation experiments. Finally, this study builds a smart speech recognition system based on this model and uses simulation experiments to verify the effect of smart speech recognition on English learning. To improve the voice recognition effect of smart speech, band-pass filtering and envelope detection adopt the gammatone filter bank and Meddis inner hair cell model in the mathematical model of the cochlear system; at the same time, the masking effect model of psychoacoustics is introduced in the channel selection stage to prevent noise. Sex has been improved, and the recognition effect of smart voice has been improved. The analysis shows that the intelligent speech recognition system proposed in this study can effectively improve the effect of English learning. In particular, it has a great effect on improving the effect of oral learning.
ISSN:1687-5680
1687-5699
DOI:10.1155/2022/2910859