Date of Publication :3rd October 2024

Abstract:This paper studies recent assistive technologies and AI sound detection systems that have been developed to support both the safety and communication of individuals who are deaf. With a highlight of the critical role of machine learning in all four stages, which are processing, feature extraction, real-time sound event detection, and deep learning applications, the paper is able to give an overall understanding of the sound wave detection system. Additionally, it addresses challenges such as real-time processing, polyphonic sound detection, and the integration of speech recognition technologies to improve communication and situational awareness. By synthesizing recent research and applications, this paper seeks to demonstrate the transformative impact of these technologies on the quality of life and safety for those with hearing impairments.

Reference :