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Table 2 Suppression performance achieved by NMF and the proposed method for varying SNRs. For this experiment, ego-noise by movements of Sequence I is used. Parameters used for proposed methods are given in the last rows. For all SNRs, dictionaries of size K=20, KS=20 are used

From: Motor data-regularized nonnegative matrix factorization for ego-noise suppression

SNR

SDR [dB]

SAR [dB]

PESQ

Parameters

(PESQ)

NMF

Proposed

NMF

Proposed

NMF

Proposed

 

− 10 dB

− 3.95 (± 0.21)

−3.95 (± 0.21)

4.53 (± 0.26)

4.53 (± 0.26)

1.09 (± 0.00)

1.09 (± 0.00)

λT=0, λE=0

(1.08)

      

ε=5·10−3

− 5 dB

2.76 (± 0.43)

2.82 (± 0.33)

6.01 (± 0.04)

6.52 (± 0.06)

1.19 (± 0.01)

1.22 (± 0.00)

λT=0.1, λE=0.1

(1.11)

      

ε=5·10−3

− 2 dB

5.82 (± 0.03)

6.19 (± 0.04)

7.86 (± 0.03)

8.77 (± 0.02)

1.27 (± 0.01)

1.32 (± 0.01)

λT=1.1, λE=1.0

(1.12)

      

ε=5·10−3

− 1 dB

6.24 (± 0.02)

7.04 (± 0.02)

8.31 (± 0.06)

9.49 (± 0.02)

1.28 (± 0.02)

1.37 (± 0.03)

λT=1.1, λE=1.5

(− 1)

      

ε=5·10−3

0 dB

6.60 (± 0.03)

7.76 (± 0.04)

8.70 (± 0.08)

10.32 (± 0.01)

1.28 (± 0.01)

1.37 (± 0.02)

λT=1.0, λE=4.0

(1.13)

      

ε=5·10−3

1 dB

6.89 (± 0.05)

8.41 (± 0.06)

9.05 (± 0.12)

11.12 (± 0.01)

1.3 (± 0.01)

1.4 (± 0.02)

λT=1.0, λE=8.4

(1.14)

      

ε=5·10−3

2 dB

7.15 (± 0.08)

9.15 (± 0.04)

9.36 (± 0.14)

11.84 (± 0.02)

1.31 (± 0.03)

1.41 (± 0.02)

λT=1.0, λE=11.0

(1.15)

      

ε=5·10−3

5 dB

7.58 (± 0.09)

10.92 (± 0.1)

9.96 (± 0.2)

13.88 (± 0.04)

1.35 (± 0.02)

1.45 (± 0.01)

λT=1.1, λE=16.8

(1.21)

      

ε=5·10−3

10 dB

8.17 (± 0.24)

13.59 (± 0.03)

10.66 (± 0.41)

16.29 (± 0.10)

1.41 (± 0.00)

1.54 (± 0.00)

λT=1.1, λE=20.1

(1.37)

      

ε=5·10−3