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- W2380515194 abstract "An approach of verification of key words the weighted likelihood ratio(LR) fusion based on the revised rival-model is proposed to be applied to the utterance.Error function is proposed in order to realize the parameter optimization based on the SVM.In the experiment stage,two baseline systems are setup.In the first experiment,the different weight methods based on the rival model are distinguished.In the second experiment,three different models are compared.The experiment result shows that,the LR computed by the weighted likelihood ratio fusion makes a better performance on the keyword spotting,which decreases 26.53% and 7.78% comparing to the normal rival-model and classical anti-model respectively." @default.
- W2380515194 created "2016-06-24" @default.
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- W2380515194 date "2011-01-01" @default.
- W2380515194 modified "2023-09-27" @default.
- W2380515194 title "Weighted likelihood ratio fusion algorithm based on SVM" @default.
- W2380515194 hasPublicationYear "2011" @default.
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