Table 1.

STOI performance metric on NOIZEUS dataset (mean ± SEM) for different algorithms across various SNR levels.

Algorithm	SNR 0	SNR 5	SNR 10	SNR 15
Baseline	0.671 ± 0.004	0.783 ± 0.003	0.878 ± 0.003	0.937 ± 0.002
Iterative Wiener	0.509 ± 0.004	0.594 ± 0.004	0.664 ± 0.005	0.704 ± 0.005
NoiseReduce (ours)	0.683 ± 0.004	0.799 ± 0.003	0.893 ± 0.002	0.946 ± 0.002
Savitzky-Golay	0.668 ± 0.004	0.779 ± 0.003	0.875 ± 0.003	0.934 ± 0.002
Spectral Subtraction	0.417 ± 0.003	0.451 ± 0.002	0.479 ± 0.002	0.493 ± 0.002
Subspace	0.608 ± 0.004	0.682 ± 0.003	0.712 ± 0.004	0.724 ± 0.004
Wiener	0.668 ± 0.004	0.766 ± 0.004	0.840 ± 0.003	0.879 ± 0.002