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- W2392742498 abstract "In order to enhance the safety of miners and the success rate of rescue,as well as the security of computer system,a system of speaker identification is designed to build a reliable mine security policy.Using Mel Frequency Cepstrum Coefficient(MFCC),the text-independent speaker recognition system takes Fast Independent Component Analysis(ICA) algorithm based on maximum negentropy to separate the voice from noise,then allied with subspace enhancement.For Vector Quantization(VQ) system,the united way provides fine effect on robustness. Results of experiment on Matlab show the feasibility of this design." @default.
- W2392742498 created "2016-06-24" @default.
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- W2392742498 date "2010-01-01" @default.
- W2392742498 modified "2023-09-25" @default.
- W2392742498 title "Design of Mine Security System Based on Robust Speaker Recognition" @default.
- W2392742498 hasPublicationYear "2010" @default.
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