Acoustic Echo Cancellation

Acoustic echo cancellation (AEC) aims to eliminate unwanted echoes in audio communication systems, preserving the clarity of near-end speech. Current research emphasizes developing deep learning models, often employing convolutional and recurrent neural networks, to achieve robust AEC performance even in challenging conditions like double-talk and noisy environments; these models are increasingly integrated with other speech enhancement techniques like noise suppression and dereverberation for a unified solution. Advances in AEC are crucial for improving the quality of various applications, including teleconferencing, voice assistants, and speech recognition systems, particularly by enabling more natural and efficient full-duplex communication.