dynamic features:delta and delta-delta features of MFCCs features 3、实验过程 数据集:CMU ARCTIC corpus training data:349852 frames(593 sentences, 42mins) test data:69173 freams(119 sentences,9mins) DBLSTM输入输出:MFCCs features 49维 DBLSTM layers:[49,128,256,256,128,49] DBLSTM-DYN输入输出:ad...
To deploy CNN-DBLSTM model in products with CPU server, there is an urgent need to compress and accelerate it as much as possible, especially the CNN part, which dominates both parameters and computation. In this paper, we study teacher-student learning and Tucker decomposition methods to ...
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