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Table 10 Recognition rates of BF-DNN with a varying number of layers for training data (%)

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

Method Number of layers CENSREC-4 database Ave.
   0.40 0.60 0.75  
BF-DNN 3 56.60 48.65 55.45 53.57
BF-DNN 5 88.40 83.90 88.10 86.80
BF-DNN 7 90.40 86.40 89.20 88.67
BF-DNN 9 91.80 88.35 91.15 90.43