Acoustic Echo Canceller Using Independent Component Analysis

Ekta, Anil Panwar, Shelej Khera

Abstract: Acoustic echo canceller (AEC) aims to remove the undesired echoes which come due to loudspeaker and microphone coupling in hand free communication system. In hand free communication system when echoes is picked up by the microphone is mixed with original source signal, system shows poor performance. There are so many techniques which are used to remove echoes from original source signal or speech signal. One method is adaptive filter but adaptive filter method is not so much effective in the presence of more than one speaker, double talk and other external sound to diminish the noise or echoes. so we proposed independent component analysis (ICA) which is a method of blind source separation (BSS). Independent component analysis can cancel the echoes effectively without need of double talk detector by separating near end signal and far end signal.

Keywords: AEC, ERLE, PSTN, ICA, BSS

How to Cite?: Ekta, Anil Panwar, Shelej Khera, "Acoustic Echo Canceller Using Independent Component Analysis", Volume 4 Issue 10, October 2015, International Journal of Science and Research (IJSR), Pages: 543-545, https://www.ijsr.net/getabstract.php?paperid=SUB158732, DOI: https://dx.doi.org/10.21275/SUB158732