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This paper describes a novel speech enhancement structure which simulates the cocktail party effect using a modified iterative Wiener filter and a multi-layer perceptron neural network. The key idea is to use the neural network as a speaker recognition system to control the iterative Wiener filter. The neural network is a modified perceptron with a hidden layer using feature data extracted from LPC cepstral analysis. The proposed technique has been successfully used for speech enhancement when the interference is competing speech or broad band noise.

Speech Enhancement Iby Simulation Of Cocktail Party Effect With Neural Network Controlled Iterative Filter