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Table 2 Speech denoising SIR scores

From: Blind source separation with optimal transport non-negative matrix factorization

 

OT

OT + OT filter

KL

IS

E

 

k

k

k

k

k

 

5

10

15

20

5

10

15

20

5

10

15

20

5

10

15

20

5

10

15

20

Cicada

8.5

10.0

10.2

9.6

8.0

8.8

9.7

9.1

8.5

8.8

8.8

8.9

8.5

8.8

8.5

8.6

8.7

8.8

8.7

8.4

 

± 0.1

± 0.0

± 0.1

± 0.1

± 0.1

± 0.0

± 0.1

± 0.1

± 0.1

± 0.1

± 0.1

± 0.1

± 0.1

± 0.1

± 0.1

± 0.1

± 0.1

± 0.1

± 0.1

± 0.1

Drums

1.9

5.5

3.6

3.8

2.1

5.6

3.6

3.9

2.8

4.2

3.2

3.6

0.7

1.1

0.7

1.1

3.1

4.7

2.6

2.5

 

± 0.4

± 0.7

± 0.6

± 0.6

± 0.3

± 0.6

± 0.6

± 0.6

± 0.2

± 0.6

± 0.4

± 0.4

± 0.2

± 0.1

± 0.1

± 0.0

± 0.6

± 0.5

± 0.4

± 0.3

Sea

1.4

2.8

4.6

3.0

1.3

3.0

4.6

3.0

4.7

6.2

6.7

6.2

4.2

5.0

5.7

5.4

10.1

8.9

8.1

5.5

 

± 0.9

± 0.6

± 0.4

± 1.0

± 0.8

± 0.6

± 0.4

± 1.0

± 1.0

± 0.8

± 0.6

± 0.5

± 0.3

± 0.5

± 0.6

± 0.4

± 1.0

± 0.6

± 0.6

± 0.4

Subway

6.2

6.4

3.1

4.7

5.5

5.9

3.0

4.7

5.2

4.5

3.1

3.1

4.0

2.2

2.1

2.9

5.3

4.8

4.2

3.4

 

± 1.3

± 0.9

± 1.0

± 1.2

± 1.0

± 0.9

± 1.0

± 1.2

± 1.6

± 1.7

± 0.9

± 0.9

± 0.8

± 0.4

± 0.4

± 0.5

± 2.3

± 1.3

± 1.0

± 0.9

  1. The bold figure in each line indicates the best score for a specific noise