Results with multi-resolution features and FC-sigmoid-RBM-pretrain DNNs with hidden layers of 1024 units.
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资源简介：
In all cases features are MFCC+CMVN+Splice+LDA+MLLT+fMLLR. Input is spliced ±5 frames. 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
