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Table 5 Experimental results of seven different baselines and our proposed MMAM. “-” means there is no parameter

From: Masked multi-center angular margin loss for language recognition

ID

Loss

Parameter

Test-all

Test-3 s

Test-1 s

   

EER

Cavg

minDCF

EER

Cavg

minDCF

EER

Cavg

minDCF

1

SoftMax

-

4.15

3.89

3.92

3.93

4.09

3.97

11.35

11.05

11.06

2

AAM-SoftMax

m=0.3

1.83

1.79

1.92

2.36

2.12

2.34

10.17

9.76

10.04

3

DAM-SoftMax

m=0.3

2.16

1.98

2.01

2.23

2.08

2.34

9.44

8.76

9.09

4

GE2E

-

3.60

3.51

3.61

3.99

3.71

3.25

14.23

13.56

13.73

5

AM-Centroid

m=0.3

3.43

3.26

3.33

3.87

3.45

3.48

13.27

12.12

12.66

6

Sub-center

m=0.3,K=4

2.02

1.84

2.12

2.15

2.14

2.14

9.13

8.69

9.19

7

Softtriple

m=0.3,K=2

2.03

1.87

2.02

2.26

2.33

2.12

9.05

8.54

9.01

8

MMAM(our)

m=0.3,r=0.4,K=3

1.39

1.39

1.41

1.73

1.74

1.71

8.16

7.60

7.30

9

MMAM(our)

m=0.5,r=0.4,K=3

1.35

1.23

1.31

1.48

1.47

1.45

7.78

7.28

7.63

-

SCL absolute improvement

0.48

0.56

0.61

0.75

0.61

0.89

1.65

1.47

1.79

-

SCL relative improvement

26.2%

31.3%

31.7%

33.6%

29.3%

38%

17.6%

16.9%

19.7%

-

MCL absolute improvement

0.67

0.61

0.71

0.67

0.66

0.67

1.27

1.26

1.71

-

MCL relative improvement

33.2%

33.2%

35.1%

31.2%

31.3%

31.6%

14%

14.8%

19%