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EURASIP Journal on Audio, Speech, and Music Processing

Table 16 Three different training sets used to train the DNN and GMM

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

Training

DAE and BF-DNN

GMM training

set

training data

data

number

  

1

5 (utterances) × 100 (speakers)

5 (utterances) ×100 (speakers)

 

× 3 (environments)

× 3 (environments)

2

Same as training

10 (utterances) ×100 (speakers)

 

set 1

× 3 (environments)

3

10 (utterances) ×100 (speakers)

Same as training

 

× 3 (environments)

set 2

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