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- W2370297540 abstract "As to small amounts of training and test speech data,it proposed a new speaker recognition algorithm.By the kernel mapping,it used the fuzzy vector quantization to quantize the speakers' speech features in the high dimensional feature space.In order to improve the discriminations of different speakers,it presented a novel weights assignment method.It assigned the lager weight to the code vector with higher discriminative power.Then,it used the codebooks and weights to form the speakers' database.In the matching phase,it proposed a fuzzy kernel weighted nearest prototype classifier,which can identify different speakers in the high dimensional space.Experimental results show that when the training speech data is less than 8s,and test speech data is 1s,this algorithm can get good performance." @default.
- W2370297540 created "2016-06-24" @default.
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- W2370297540 date "2008-01-01" @default.
- W2370297540 modified "2023-09-23" @default.
- W2370297540 title "A Fuzzy Kernel with Discriminative Weighted Method for Speaker Recognition" @default.
- W2370297540 hasPublicationYear "2008" @default.
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