The Integration Path and Practical Exploration of AI Audio Restoration Technology in the Construction of Historical Educational Resources
Abstract
With the development of artificial intelligence technology, audio restoration has advanced from traditional noise reduction to
a new stage of semantic understanding and emotional restoration. Based on deep generative models, this paper explores the integration
paths and practical effects of AI audio restoration technology in the construction of historical educational resources. By analyzing the core
technical composition of the restoration system and the logic of educational application, the practical value in teaching resource development, classroom immersive experience, and teacher research is demonstrated. Practices show that this technology not only improves the
availability and appeal of historical speech but also expands the expressive boundaries of teaching content. Finally, combined with existing
problems, optimization suggestions for educational scenarios are proposed, aiming to provide references for the integrated innovation of
culture + technology + education.
a new stage of semantic understanding and emotional restoration. Based on deep generative models, this paper explores the integration
paths and practical effects of AI audio restoration technology in the construction of historical educational resources. By analyzing the core
technical composition of the restoration system and the logic of educational application, the practical value in teaching resource development, classroom immersive experience, and teacher research is demonstrated. Practices show that this technology not only improves the
availability and appeal of historical speech but also expands the expressive boundaries of teaching content. Finally, combined with existing
problems, optimization suggestions for educational scenarios are proposed, aiming to provide references for the integrated innovation of
culture + technology + education.
Keywords
Artificial intelligence; Audio restoration; Educational resources; Semantic recognition; Classroom immersion
Full Text:
PDFReferences
[1] Chen Hui. Virtual Navigation, Deepfake and Emotional Manipulation: Exploration of Historical Images Driven by Interactive Technology [J]. Contemporary Cinema, 2023(10):54-61.
[2] Wang Jue, Li Qianan. Research on the Application of AI Audio Technology in Movie Dialogue and Sound Effect Production [J]. Modern
Film Technology, 2024(12):13-21.
[3] Rong Xianjin, Wang Yaofei, Hu Donghui Research on Artificial Intelligence Digital Watermark Evaluation Method and Construction of
Evaluation Platform [J]. Aerospace Measurement Technology, 2025, 45 (02): 91-96+102
DOI: http://dx.doi.org/10.70711/neet.v3i5.7005
Refbacks
- There are currently no refbacks.
