Frame accuracies with multi-resolution features and FC-sigmoid-RBM-pretrain DNNs with hidden layers of 2048 units.
收藏Figshare2018-10-10 更新2026-04-29 收录
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https://figshare.com/articles/dataset/Frame_accuracies_with_multi-resolution_features_and_FC-sigmoid-RBM-pretrain_DNNs_with_hidden_layers_of_2048_units_/7191977
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In all cases features are MFCC+Splice+LDA+fMLLR. 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
