Frame accuracies with multi-resolution features and FC-sigmoid-RBM-pretrain DNNs with hidden layers of 1024 units.
收藏数据链接：
官方服务：
资源简介：
In all cases features are MFCC+CMVN+Splice+LDA+MLLT+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
