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- W2376744081 abstract "A novel hierarchical FSVM speech emotion recognition approach based on MVR membership was proposed in this paper.Firstly,PCA was utilized to reduce the dimension of registered speakers’feature vectors,and simultaneously principal component space was obtained based on the transform matrix.Then PCS-PCA classifier was proposed to select the possible R target speakers fleetly.After that,the membership of FSVM was computed using mapping variance ratio of the speaker’s input vector X.Finally,the recognition result was achieved by MVR-FSVM.The experiment results validate availability and feasibility of our method." @default.
- W2376744081 created "2016-06-24" @default.
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- W2376744081 date "2012-01-01" @default.
- W2376744081 modified "2023-09-23" @default.
- W2376744081 title "Hierarchical FSVM Speaker Recognition Based on MVR Membership" @default.
- W2376744081 hasPublicationYear "2012" @default.
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