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- W2140147243 abstract "A novel speech separation structure which simulates the cocktail party effect using a modified iterative Wiener filter and a multi-layer perceptron neural network is presented. The neural network is used 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 separation when the interference is competing speech or broad band noise." @default.
- W2140147243 created "2016-06-24" @default.
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- W2140147243 date "2002-11-22" @default.
- W2140147243 modified "2023-09-22" @default.
- W2140147243 title "Speech separation by simulating the cocktail party effect with a neural network controlled Wiener filter" @default.
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- W2140147243 doi "https://doi.org/10.1109/icassp.1997.595489" @default.
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