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- W2382178633 abstract "Because the speech signals were highly real-time uncertainty,this paper proposed evidences' trust entropy and dynamic prior weights to improve the basic probability function of traditional D-S theory.As the emotion recognition result was not the same by emotion features in different emotions,it presented a classification method of emotion features.In order to realize the fine-grain speech emotion recognition,it used the recognition data of different classification and the improved D-S theory to realize the emotion recognition based on multi-classification emotion features.The improved D-S theory is proved to be effective by simulation.And comparing simulation results show that the multi-classification emotion features are effective and stability." @default.
- W2382178633 created "2016-06-24" @default.
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- W2382178633 date "2012-01-01" @default.
- W2382178633 modified "2023-09-27" @default.
- W2382178633 title "Research of speech emotion recognition based on emotion features classification" @default.
- W2382178633 hasPublicationYear "2012" @default.
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