Hearing aids are vital tools for individuals with hearing impairment, yet they face challenges in noisy environments and during distant conversation conditions. This project aims to overcome these limitations by integrating optical microphones with deep learning techniques. Experimental validation demonstrates significant enhancements in listening efficacy for hearing aid users in such scenarios, paving the way for new research directions in speech signal sensing technology.

This technology enhances listening benefits for individuals with hearing loss in noisy environments and distant conversation, overcoming hearing aid challenges. It is the first to show significant benefits. The scientific breakthroughs include "AI models" and "optical sensing technology." The AI models use deep learning to enhance speech quality, while the optical sensing technology achieves miniaturization and cost reduction, opening new directions in speech signal sensing research.

This technology, based on "sensing sound through light," aims to improve hearing aid performance in noisy environments and distant conversations. Using AI models and optical sensing, it enhances speech quality and minimizes hardware size and cost. Its applications span hearing aids, industrial noise detection, clinical signal measurement, offering significant industrial potential.