Speech Intelligibility Enhancement

Speech intelligibility enhancement focuses on improving the clarity and understandability of speech degraded by noise or other distortions, aiming to improve communication in challenging acoustic environments. Current research emphasizes developing personalized and robust algorithms, often employing deep learning models like convolutional neural networks, that leverage both acoustic features and higher-level semantic information to enhance speech while minimizing artifacts. These advancements hold significant potential for improving assistive listening devices, communication systems in noisy settings, and accessibility for individuals with hearing impairments or autism spectrum disorder.