Skip to main content

Table 4 Performance improvement of the proposed network evaluated with the six-channel UCA for different reverberation time

From: A multichannel learning-based approach for sound source separation in reverberant environments

Model

ΔSI-SNR (dB)

ΔPESQ

ΔSTOI

0.16 s

0.36 s

0.61 s

0.9 s

0.16 s

0.36 s

0.61 s

0.9 s

Avg.

BF-net

(the first stage)

7.65

7.69

8.10

7.69

0.62

0.46

0.36

0.27

0.14

BF-net + LSTM

9.33

9.70

8.90

7.41

0.63

0.48

0.31

0.18

0.15

BF-net + U-net

11.27

12.48

13.44

13.38

0.95

0.77

0.58

0.48

0.20

BF-net + U-net + DM

12.33

13.78

15.02

14.98

1.10

0.90

0.70

0.59

0.22

Score of unprocessed signal

− 5.67

− 11.45

− 16.17

− 18.27

1.80

1.59

1.43

1.36

0.59

  1. The best scores for the respective subset are boldfaced