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Table 8 Recognition rates of DNN with varying numbers of units in each layer for training data (%)

From: Deep neural network-based bottleneck feature and denoising autoencoder-based dereverberation for distant-talking speaker identification

Method Number of units CENSREC-4 database Ave.
  in each layer 0.40 0.60 0.75  
BF-DNN 512 84.90 78.95 83.15 82.33
BF-DNN 1,024 88.40 83.90 88.10 86.80
BF-DNN 2048 87.45 83.25 87.05 85.92