Advanced double-talk detection algorithm based on joint signal energy and cross-correlation estimation

Acoustic Echo Cancellation (AEC) is employed in hands-free communication systems to enhance communication experience. Double-Talk Detection (DTD) plays a vital role in AEC to distinguish the far-end and near-end signals and its failure will cause the system divergence. An efficient new DTD algorithm based on the joint signal energy and cross-correlation estimation techniques is proposed in this paper to reduce the DTD faults. The proposed algorithm can provide fast DTD and enhanced system performance without increasing much more computational complexity over the conventional techniques. Simulation results show the performance improvement achieved by the proposed technique.