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Table 6 Mean objective results for factory noise

From: An adaptive a priori SNR estimator for perceptual speech enhancement

Gain

SNR

PESQ

SNR seg

HD

KurtR

  

DD

MDD

TSNR

Prop

DD

MDD

TSNR

Prop

DD

MDD

TSNR

Prop

DD

MDD

TSNR

Prop

WF

0

2.447

2.441

2.423

2 . 4 8 9

1.564

1.589

1.792

2 . 1 7 8

0.368

0.377

0.379

0 . 3 5 6

1.666

1.251

1 . 2 1 1

1.402

 

5

2.795

2.791

2.772

2 . 8 3 0

4.444

4.499

4.843

5 . 2 0 6

0.331

0.344

0.345

0 . 3 2 8

2.429

1.654

1 . 5 8 2

1.970

 

10

3.170

3.204

3.180

3 . 2 2 0

7.586

7.660

7.965

8 . 3 6 8

0.299

0.303

0.316

0 . 2 8 3

3.475

2.385

2 . 2 0 3

2.979

LSA

0

2.484

2.529

2.388

2 . 5 6 5

1.388

1.670

1.565

2 . 1 1 7

0 . 3 2 0

0.356

0.355

0.344

2.712

1 . 4 9 9

2.854

1.704

 

5

2.803

2.880

2.754

2 . 9 0 2

4.312

4.645

4.665

5 . 1 2 7

0 . 2 7 3

0.319

0.323

0.299

3.416

1 . 9 4 2

3.337

2.299

 

10

3.091

3.257

3.114

3 . 2 6 0

7.564

7.874

7.833

8 . 3 7 4

0 . 2 2 7

0.278

0.285

0.259

3.816

2 . 6 2 4

3.914

3.159

  1. Bold values denote the best performance