The Influence of Intelligent Speech Recognition on the Interactivity and Learning Efficiency of Vocal Music Teaching

DOI: https://doi.org/10.62517/jhet.202515502

Author(s)

Kunming Wang1,*, Ying Lei2

Affiliation(s)

1School of Training and Continuing Education, Guangdong Polytechnic of Industry and Commerce, Guangzhou, China 2School of Applied Foreign Languages, Guangdong Polytechnic of Industry and Commerce, Guangzhou, China * Corresponding Author

Abstract

This study aims to explore the application effect of intelligent speech recognition in vocal music teaching. A quasi-experimental design was adopted, with 60 undergraduate students as the subjects. The experimental group was introduced with intelligent speech recognition for real-time analysis and feedback, while the control group continued with traditional teaching. Data were collected through classroom observations, vocal tests, questionnaires and interviews, and analyzed using statistical software. The results showed that the experimental group was significantly superior to the control group in terms of the frequency of classroom speeches, the number of interaction rounds and the quality of teachers' feedback. In terms of learning efficiency, the experimental group performed better in pitch accuracy, rhythm, overall singing quality and task completion speed. Further analysis indicates that cognitive load plays a partial mediating role between teaching mode and learning efficiency, and technological acceptance has a moderating effect on teaching effectiveness. The conclusion holds that intelligent speech recognition can effectively enhance the interactivity and learning efficiency of vocal music classes, but attention should be paid to the stability of the technology and the dependence of learners. Future research can further verify its educational potential in larger samples and multi-dimensional scenarios.

Keywords

Intelligent Speech Recognition; Vocal Music Teaching; Classroom Interactivity; Learning Efficiency; Educational Technology

References

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