Research Article
Noise Estimation and Suppression Using Nonlinear Function with A Priori Speech Absence Probability in Speech Enhancement
Table 2
Objective evaluation and comparison of the Itakura-Saito Distortion Measure (ISDM).
| Noise | Method | ISDM | 0 (dB) | 5 (dB) | 10 (dB) | 15 (dB) |
| White | MS | 1.20 | 0.87 | 0.60 | 0.42 | MCRA | 0.92 | 0.44 | 0.55 | 0.37 | Proposed | 0.84 | 0.43 | 0.38 | 0.34 |
| Car | MS | 0.15 | 0.16 | 0.02 | 0.01 | MCRA | 0.21 | 0.05 | 0.02 | 0.01 | Proposed | 0.09 | 0.02 | 0.02 | 0.02 |
| Babble | MS | 0.15 | 0.06 | 0.02 | 0.01 | MCRA | 0.12 | 0.02 | 0.01 | 0.01 | Proposed | 0.08 | 0.02 | 0.01 | 0.01 |
| Airport | MS | 0.19 | 0.06 | 0.02 | 0.02 | MCRA | 0.14 | 0.04 | 0.02 | 0.01 | Proposed | 0.10 | 0.04 | 0.01 | 0.01 |
| Street | MS | 0.16 | 0.18 | 0.06 | 0.03 | MCRA | 0.55 | 0.13 | 0.09 | 0.05 | Proposed | 0.17 | 0.09 | 0.08 | 0.04 |
| Restaurant | MS | 0.10 | 0.05 | 0.01 | 0.01 | MCRA | 0.10 | 0.03 | 0.01 | 0.01 | Proposed | 0.10 | 0.01 | 0.01 | 0.01 |
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