Skip to main content

Table 3 Performance improvement of the proposed network evaluated with the six-channel UCA for different subtending angles

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

Model

ΔSI-SNR (dB)

ΔPESQ

ΔSTOI

0°–15°

15°–45°

45°–90°

90°–180°

Avg.

0°–15°

15°–45°

45°–90°

90°–180°

Avg.

Avg.

BF-net

(the first stage)

7.25

7.62

7.92

8.16

7.78

0.22

0.37

0.52

0.52

0.43

0.14

BF-net + LSTM

7.62

8.73

9.30

9.04

8.86

0.17

0.33

0.52

0.49

0.41

0.15

BF-net + U-net

12.29

12.87

12.51

12.48

12.62

0.32

0.63

0.84

0.79

0.70

0.20

BF-net + U-net + DM

14.32

14.27

13.69

13.81

13.99

0.51

0.78

0.95

0.89

0.83

0.22

Score of unprocessed signal

− 16.72

− 13.15

− 10.93

− 12.95

− 12.73

1.46

1.56

1.60

1.51

1.55

0.59

  1. The best scores for the respective subset are boldfaced