Double-Talk Detection Based on Enhanced Geigel Algorithm for Acoustic Echo Cancellation

The role of a double talk detector (DTD) in acoustic echo cancelation (AEC) system is to detect the presence of near-end speech signal with the microphone signal and freeze the filter adaptation to avoid the adaptive algorithm divergence. This paper presents a DTD based on an enhanced Geigel algorithm where a modified form of decision variable is proposed. The aim is to improve the behavior of Geigel algorithm, evaluate performances of the proposed method, and compare it to conventional Geigel algorithm. Recursive Least Squares (RLS) algorithm is used in this case as an adaptive filter which it requires a good DTD due to its fast convergence and its sensitivity to double talk situations.