Abstract
Recent development and research in telecommunication filed has led to the design of AEC systems to enhance the quality of voice against echo phenomena in communications system. The main objective of this work is to design new Modern system based ANN approach based multi-layer perceptron network and Back propagation of the gradient algorithm in digital signal processing. However, the advantages of the neuronal AEC are that very efficient for nonlinear signal processing rather conventional linear adaptive approaches.
The simulation results of the proposed AEC show his efficiency in terms of the best values of ERLE (Error Rate Loss Enhancement) according to IUT-T recommendation G.168.
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Wahbi, A., Roukhe, A., bensassi, B., Hlou, L. (2022). Towards a New Design for Acoustic Echo Cancellation (AEC) Using Neural Network and Backpropagation Algorithm. In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. Advances in Intelligent Systems and Computing, vol 1418. Springer, Cham. https://doi.org/10.1007/978-3-030-90639-9_10
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