The Role of Deep Learning Voice Recognition in Assisting Students with Hearing Impairments in Education

DOI: https://doi.org/10.62517/jes.202302412

Author(s)

Xuan Li, He Yu*, Jinming Guo

Affiliation(s)

Electronic Information Engineering College of Changchun University, Changchun, Jilin, China *Corresponding Author

Abstract

With the development of modern technology, deep learning sound recognition technology has gradually become an important tool in supporting the education of students with hearing impairments. This paper aims to explore the role of deep learning sound recognition in assisting the education of students with hearing impairments by comprehensively analyzing relevant literature and research findings. Firstly, the background and challenges of supporting the education of students with hearing impairments are introduced, emphasizing the potential of deep learning sound recognition technology in addressing these challenges. Subsequently, the principles and applications of deep learning sound recognition technology are elaborated, including sound feature extraction, model training, and sound classification. Furthermore, the actual applications of deep learning sound recognition technology in supporting the education of students with hearing impairments are discussed, such as speech recognition, speech synthesis, and assistive hearing devices. Finally, the advantages and limitations of deep learning sound recognition technology in supporting the education of students with hearing impairments are summarized, and future research directions and trends are proposed.

Keywords

Deep Learning; Sound Recognition; Students with Hearing Impairments; Education; Speech Synthesis.

References

[1] Zhang Z, Zhang W. Application of deep learning voice recognition in the education of students with hearing impairments[J]. Research in Educational Informatization, 2019, 1(12): 56-61. [2] Li M, Wang L. Design and implementation of an education system for students with hearing impairments based on deep learning voice recognition[J]. Audio Technology, 2020, 34(4): 78-82. [3] Wu Q, Zhang L. Application of deep learning voice recognition technology in students with hearing impairments[J]. Western Education Science, 2018, 2(1): 45-49. [4] Wang Y, Liu F. Exploration of the application of deep learning voice recognition technology in the education of students with hearing impairments[J]. Modern Educational Technology, 2021, 3(8): 36-40. [5] Liu Y, Zhang B. Research on the application of deep learning voice recognition technology in the education of students with hearing impairments[J]. Educational Technology and Equipment, 2017, 4(6): 29-33. [6] Huang L, Li N. Practical application of deep learning voice recognition technology in the education of students with hearing impairments[J]. Acoustic Technology, 2020, 38(2): 45-49. [7] Zhao W, Gao R. Design and implementation of a speech synthesis system for students with hearing impairments based on deep learning voice recognition[J]. Computer Applications and Software, 2019, 6(5): 32-36. [8] Chen P, Li H. Case analysis of the application of deep learning voice recognition technology in the education of students with hearing impairments[J]. Electronic World, 2018, 4(10): 61-65. [9] Liu R, Zhou P. Optimization research on the application of deep learning voice recognition technology in the education of students with hearing impairments[J]. Modern Educational Technology, 2017, 2(7): 23-28. [10] Yang H, Wang Q. Research on the design of an education system for students with hearing impairments based on deep learning voice recognition[J]. Electronic World, 2021, 3(4): 56-60.