Real Time Speech Enhancement

Real-time speech enhancement aims to improve the clarity and intelligibility of speech signals in noisy environments, focusing on computationally efficient methods suitable for resource-constrained devices. Current research emphasizes lightweight neural network architectures, such as two-stage networks and those employing sub-band processing or dynamic attention mechanisms, to achieve real-time performance while maintaining high speech quality. These advancements are crucial for applications like voice assistants and hearing aids, improving user experience and accessibility in various communication technologies.