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.
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