Various signals: Clean, Noisy and Filtered for 6 different base signals.
The numbers next to the Filtered Signals represent the CORRELATION with the respective Clean Signals.
| sentence-female-1 | ||||||
| Noise-added signal | n0L | n0H | n1L | n1H | n2L | n2H |
| Spectral Subtraction Filtered | n0L 0.9913 | n0H 0.9313 | n1L 0.9886 | n1H 0.8492 | n2L 0.9874 | n2H 0.8058 |
| Weiner Filtered | n0L 0.9907 | n0H 0.9622 | n1L 0.9920 | n1H 0.9172 | n2L 0.9909 | n2H 0.8718 |
| sentence-female-2 | ||||||
| Noise-added signal | n0L | n0H | n1L | n1H | n2L | n2H |
| Spectral Subtraction Filtered | n0L 0.9914 | n0H 0.9451 | n1L 0.9895 | n1H 0.8929 | n2L 0.9885 | n2H 0.8556 |
| Weiner Filtered | n0L 0.9940 | n0H 0.9652 | n1L 0.9920 | n1H 0.9098 | n2L 0.9918 | n2H 0.8874 |
| sentence-female-3 | ||||||
| Noise-added signal | n0L | n0H | n1L | n1H | n2L | n2H |
| Spectral Subtraction Filtered | n0L 0.9636 | n0H 0.8976 | n1L 0.9815 | n1H 0.8036 | n2L 0.9785 | n2H 0.7314 |
| Weiner Filtered | n0L 0.9846 | n0H 0.9458 | n1L 0.9859 | n1H 0.8724 | n2L 0.9829 | n2H 0.7986 |
| sentence-male-1 | ||||||
| Noise-added signal | n0L | n0H | n1L | n1H | n2L | n2H |
| Spectral Subtraction Filtered | n0L 0.9759 | n0H 0.8598 | n1L 0.9693 | n1H 0.6494 | n2L 0.9669 | n2H 0.6085 |
| Weiner Filtered | n0L 0.9724 | n0H 0.9144 | n1L 0.9725 | n1H 0.7108 | n2L 0.9707 | n2H 0.6769 |
| sentence-male-2 | ||||||
| Noise-added signal | n0L | n0H | n1L | n1H | n2L | n2H |
| Spectral Subtraction Filtered | n0L 0.9769 | n0H 0.8510 | n1L 0.9677 | n1H 0.6033 | n2L 0.9652 | n2H 0.5770 |
| Weiner Filtered | n0L 0.9709 | n0H 0.9315 | n1L 0.9707 | n1H 0.6723 | n2L 0.9715 | n2H 0.6660 |
| sentence-male-3 | ||||||
| Noise-added signal | n0L | n0H | n1L | n1H | n2L | n2H |
| Spectral Subtraction Filtered | n0L 0.9744 | n0H 0.8342 | n1L 0.9647 | n1H 0.6365 | n2L 0.9672 | n2H 0.5932 |
| Weiner Filtered | n0L 0.9732 | n0H 0.8582 | n1L 0.9704 | n1H 0.6706 | n2L 0.9711 | n2H 0.6589 |
From the correlation values it can be seen that generally Wiener filtering performs better than Spectral subtraction.
While listening to the spectral subtraction filtered signals, almost all of them had one undesired effect that wasn�t as prevalent in the Wiener filtered signals. In the spectral subtraction filtered signals, even when the noise was removed relatively well (judged based on the correlation numbers), there was always an unwanted �hissing� present.