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- W2376018172 abstract "Multi-classifier structure overcomes the shortcomings of single classifier,such as low recognition rate,narrow application field and critical demand of environment.A fusion method based on SVM is proposed.The involved classifiers include ANN,GMM,sub-band classifiers,etc.A practical speaker recognition system based on multi-classifier structure is presented.The input features of classifiers contain MFCC,LPCC.In practical application,the recognition rate of the system achieves 94 % in environment of super short wave(SNR 15 db)." @default.
- W2376018172 created "2016-06-24" @default.
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- W2376018172 date "2007-01-01" @default.
- W2376018172 modified "2023-09-28" @default.
- W2376018172 title "SVM based multi-classifier applied in anti-noise speaker identification system" @default.
- W2376018172 hasPublicationYear "2007" @default.
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