Abstract : This study explores the enhancement of speech intelligibility in hearing aids using spectral subtraction techniques. Environmental noise often degrades the quality of speech signals, posing significant challenges for individuals with hearing impairments. Spectral subtraction, a widely recognized noise reduction method, is employed to mitigate these challenges. The study investigates the effectiveness of spectral subtraction in improving speech intelligibility by evaluating objective metrics. Objective measures such as the Perceptual Evaluation of Speech Quality (PESQ), Short-Time Objective Intelligibility (STOI), and Log Likelihood Ratio (LLR) are utilized to assess the performance of the spectral subtraction algorithm. The results demonstrate that spectral subtraction significantly enhances speech intelligibility and quality, making it a viable solution for improving hearing aid performance in noisy environments. PESQ scores improved by approximately 5% to 58%, and STOI scores improved by around 2% to 23%, while LLR scores improved by around 40% to 68% at low SNR levels. This research contributes to the development of more effective hearing aids, ultimately improving the quality of life for individuals with hearing impairments.