TY - JOUR
T1 - Frequency Domain Acoustic Echo Cancellation Using Auxiliary Function Based Independent Component Analysis
AU - Wu , Lifu
AU - Wang , Lei
AU - Sun , Xinnian
AU - Sun , Shuaiheng
JO - Journal of Information and Computing Science
VL - 1
SP - 53
EP - 64
PY - 2024
DA - 2024/03
SN - 19
DO - http://doi.org/10.4208/JICS-2024-004
UR - https://global-sci.org/intro/article_detail/jics/23879.html
KW - Echo cancellation, Auxiliary function, Independent Component Analysis (ICA), Blind source separation, Double-talk.
AB - <p style="text-align: justify;">The performance of traditional Acoustic Echo Cancellation (AEC) is restricted due to the double-talk detector it used to determine the double-talk and single-talk scenarios. While Blind Source Separation (BSS) signal model is a full duplex model with both far-end and near-end signals, thus the BSS-based AEC does not need the double-talk detector. This paper adopts Auxiliary function based Independent Component Analysis (Aux-ICA) algorithm to realize acoustic echo cancellation in frequency domain, in which the object function is minimizing the mutual information, and the auxiliary function technique is used for optimization. Simulation results show that this method has lower computational complexity and better performance in acoustic echo cancellation under continuous double-talk scenarios.</p>