Wavelet based ICA using maximisation of non-Gaussianity for acoustic echo cancellation during double talk situation

In this paper a new wavelet based Independent Component Analysis (ICA) is proposed for Acoustic Echo Cancellation (AEC) in the presence of double talk scenario. Conventional Echo cancellation systems that use adaptive filter for AEC fails in the double talk situation, which demands a double talk detector. In the proposed method, the near end speech is separated from the acoustic echo by using the measure of maximising the Non-Gaussianity of ICA using kurtosis and Negentropy without the need of double talk detector. The simulations show that the proposed wavelet based ICA method provides higher cancellation of echo with less computation time.