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Table 1 SDR improvements for each method under each simulated noise condition

From: Deficient-basis-complementary rank-constrained spatial covariance matrix estimation based on multivariate generalized Gaussian distribution for blind speech extraction

Methods

Babble noise

Station noise

Traffic noise

Cafe noise

ILRMA

6.1/–

6.2/–

4.7/–

6.4/–

IVE

6.2/5.8

6.2/5.8

5.4/5.2

6.4/5.9

BSSA

6.8/–

6.9/–

5.7/–

7.2/–

MWF1

6.1/–

6.9/–

5.8/–

7.0/–

MWF2

6.9/–

7.2/–

5.6/–

7.4/–

MNMF

2.7/2.7

3.5/3.5

2.6/2.6

2.8/2.8

ILRMA + MNMF

6.5/6.5

7.0/7.0

6.2/6.2

8.1/8.1

FastMNMF

1.7/1.7

2.6/2.5

2.9/2.8

2.6/2.6

ILRMA + FastMNMF

6.5/6.2

6.6/6.6

5.4/5.4

7.3/7.3

Fixed-basis RCSCME

 \(\rho =0.5\)

8.7/7.7

10.2/9.5

8.3/7.8

10.1/9.3

 \(\rho =1\)

8.6/7.7

9.9/9.4

8.0/7.7

9.9/9.2

 \(\rho =2\)

8.5/7.6

9.8/9.2

7.9/7.5

9.8/9.1

Proposed basis-optimizing RCSCME

 \(\rho =0.5\)

9.3/8.8

11.5/11.0

9.4/9.2

11.1/10.5

 \(\rho =1\)

9.1/8.6

11.2/10.8

9.1/9.0

10.9/10.4

 \(\rho =2\)

9.0/8.6

11.1/10.7

9.0/8.9

10.8/10.4

  1. Each term represents “best-iteration score [dB]/after-200-iteration (except for IVE; after-4000-iteration for IVE) score [dB].” Bold text indicates the maximum value