five

Baseline results with Kaldi.

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NIAID Data Ecosystem2026-03-10 收录
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https://figshare.com/articles/dataset/Baseline_results_with_Kaldi_/7191932
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In all cases features are MFCC+CMVN+Splice+LDA+MLLT+fMLLR (the same used in the Triphones3 HMM/GMM setup. Feature splicing indicated in the table is performed 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.
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2018-10-10
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