A Study on the Impact of Intelligent Speech Enhancement Technology on Classroom Acoustic Environment Improvement and Teaching Effectiveness

Authors

  • Kenan Li* Yunnan Open University, P.R. China

DOI:

https://doi.org/10.61360/BoniCETR262019700202

Keywords:

intelligent speech enhancement technology, deep learning, classroom acoustic environment, teaching effectiveness, learning experience

Abstract

With the in-depth advancement of educational informatization, classrooms, as the primary venues for teaching and learning, have increasingly attracted attention with regard to their acoustic environments. Classroom acoustics not only directly affect teaching effectiveness and students’ learning experiences, but also constitute a critical factor influencing overall instructional quality. However, in real-world teaching settings, problems such as background noise, reverberation interference, and sound propagation attenuation remain prevalent, particularly in large classrooms or specialized instructional scenarios where acoustic challenges are more pronounced. Consequently, there is a growing need to rely on intelligent speech enhancement technologies driven by deep learning algorithms to provide novel directions for upgrading and optimizing classroom acoustic environments. Against this background, this paper begins by outlining the fundamental principles of intelligent speech enhancement technology and its practical application points in classroom settings, and then focuses on examining its role in improving classroom acoustic conditions as well as its positive impact on teaching effectiveness. The findings are of significant theoretical and practical value for optimizing classroom teaching environments and promoting educational equity.

References

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Published

2026-02-26

Issue

Section

Research Articles

How to Cite

A Study on the Impact of Intelligent Speech Enhancement Technology on Classroom Acoustic Environment Improvement and Teaching Effectiveness. (2026). Contemporary Education and Teaching Research, 7(2), 52-56. https://doi.org/10.61360/BoniCETR262019700202

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