Low Latency Speech Enhancement

Low-latency speech enhancement aims to improve speech intelligibility in noisy environments while minimizing processing delay, crucial for real-time applications like hearing aids and teleconferencing. Current research emphasizes developing efficient deep learning models, including recurrent and convolutional neural networks, often integrated with techniques like neural Wiener filtering or autoregressive generation, to achieve high-quality enhancement with latencies under 10ms, sometimes even below 5ms. These advancements are significantly impacting fields requiring immediate audio processing, offering improved user experience and enabling new possibilities in assistive technologies and communication systems.