Results with simplified features.
收藏Figshare2018-10-10 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Results_with_simplified_features_/7191935
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资源简介：
In all cases the DNN is similar to the FC-pnorm with the only difference that the input layer is modified to fit the input dimensionality. In all cases a frame splicing of ±4 is used at the input of the DNN. Input Dim. is the dimension of the input of the network including feature splicing. Param. is the number of trainable parameters of the network.
创建时间：
2018-10-10
