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- W2386046823 abstract "In order to realize the effective coverage of multiple clusters area in the speaker's feature space,a method of parallel coverage of priority ordered neural network(PCPONN) is put forward.Based on the initial clusters center generated by the LBG in every speaker's feature space,every sample can be classified,so every clusters area can be parallel covered by the PONN.The relative experiment results show PCPONN is consistent with the distribution of speaker's feature point,so has better stability and higher correct recognition." @default.
- W2386046823 created "2016-06-24" @default.
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- W2386046823 date "2008-01-01" @default.
- W2386046823 modified "2023-09-24" @default.
- W2386046823 title "Research on Speaker Recognition Based on the Parallel Coverage of Priority Ordered Neural Network" @default.
- W2386046823 hasPublicationYear "2008" @default.
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