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Table 3 Suppression performance achieved by NMF and the proposed method for varying SNRs. For this experiment, ego-noise by movements of Sequence II is used. Parameters used for proposed methods are given in the last rows. For all SNRs, dictionaries of size K=30, 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

− 2.59 (± 0.09)

− 2.59 (± 0.09)

3.48 (± 0.05)

3.48 (± 0.05)

1.16 (± 0.02)

1.16 (± 0.02)

λT=0, λE=0

(1.14)

      

ε=5·10−3

− 5 dB

2.33 (± 0.04)

2.45 (± 0.05)

5.40 (± 0.01)

5.41 (± 0.02)

1.19 (± 0.00)

1.19 (±0.00)

λT=0.1, λE=0.5

(1.15)

      

ε=5·10−3

− 2 dB

4.82 (± 0.02)

5.36 (± 0.03)

6.77 (± 0.01)

7.64 (± 0.04)

1.22 (± 0.01)

1.23 (± 0.01)

λT=1, λE=1

(1.15)

      

ε=5·10−3

− 1 dB

5.27 (± 0.02)

6.16 (± 0.03)

7.15 (± 0.02)

8.25 (± 0.04)

1.25 (± 0.04)

1.28 (± 0.02)

λT=1.5, λE=1.5

(1.15)

      

ε=5·10−3

0 dB

5.60 (± 0.03)

6.82 (± 0.04)

7.52 (± 0.08)

8.75 (± 0.07)

1.26 (± 0.01)

1.31 (± 0.01)

λT=0.9, λE=2.0

(1.16)

      

ε=5·10−3

1 dB

5.82 (± 0.01)

7.45 (± 0.03)

7.8 (± 0.01)

9.48 (± 0.08)

1.26 (± 0.03)

1.37 (± 0.02)

λT=1.0, λE=4.0

(1.16)

      

ε=5·10−3

2 dB

5.89 (± 0.01)

8.05 (± 0.01)

6.12 (± 0.02)

10.38 (± 0.06)

1.27 (± 0.01)

1.37 (± 0.01)

λT=3.0, λE=9.1

(1.18)

      

ε=5·10−3

5 dB

6.37 (± 0.03)

10.00 (± 0.04)

8.6 (± 0.03)

12.26 (± 0.18)

1.30 (± 0.02)

1.39 (± 0.00)

λT=2.1, λE=14.9

(1.24)

      

ε=5·10−3

10 dB

6.69 (± 0.03)

12.20 (± 0.15)

9.06 (± 0.04)

14.09 (± 0.21)

1.40 (± 0.03)

1.48 (± 0.00)

λT=2.5, λE=19.5

(1.35)

      

ε=5·10−3