Comparative Performance Analysis of AEC using Adaptive Filter and Linear Prediction Filter

With the development of technology the whole dimension of communication has changed. In modern day people are more interested in hand-free communication. So, the users use an ordinary loudspeaker and a microphone, at place of telephone receiver. Benefit of wireless communication is that it allows the users to have both hands free and to travel freely in the area. The truth of a huge audio mixture with the loudspeaker and microphone would produce a loud echo that would make conversation difficult. With an echo control or echo cancellation model these problem can be removed because it offers a simple solution to overcome the echo problem. But a major disadvantage is that it chains only halfduplex communication. Half-duplex communication permits only one presenter to talk at a moment. Due to this drawback echo cancellers is invented. Advantage of echo canceller over echo suppressor is that it uses full-duplex communications, which allow both speakers to talk at the same time. Keeping in mind these short coming, various acoustic echo cancellation methods are used. In this paper, two methods of AEC are presented and their simulink model are designed and implemented. Lastly, in order to evaluate the performance of the echo cancellation algorithm the measure of Echo Return Loss Enhancement (ERLE) is used. Keywords— Loudspeaker, Microphone, Acoustic Echo, Adaptive Filter, Linear Prediction Filter.