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Table 4 Reverberation methods

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

Reverberation methods

Conventional methods

1

CMN

MFCC with CMN

2

MCLMS-SS

Multichannel least mean squares

  

with spectral subtraction

3

MSLP-SS

Multistep linear prediction

  

with spectral subtraction

4

BF-MLP

Bottleneck feature extracted

  

from multilayer perceptron

DNN-based feature transformation methods

5

BF-DNN

Bottleneck feature extracted

  

from deep neural network

6

DAE

Denoising autoencoder-based

  

cepstral-domain dereverberation

7

DAE + BF-DNN

Combination of DAE

  

and BF-DNN