Table 4 Multidimensional quality assessment scores of raw speech recording data for each subject.
From: An open dataset of multidimensional signals based on different speech patterns in pragmatic Mandarin
Subject ID | SNR_score | EC_score | SNP_score | Quality_score |
|---|---|---|---|---|
S01 | 0.511 | 0.359 | 0.990 | 0.561 |
S02 | 0.864 | 0.428 | 0.998 | 0.760 |
S03 | 0.598 | 0.461 | 0.996 | 0.636 |
S04 | 0.146 | 1.000 | 0.988 | 0.571 |
S05 | 0.492 | 0.399 | 0.988 | 0.563 |
S06 | 0.520 | 0.504 | 0.995 | 0.610 |
S07 | 0.722 | 0.623 | 0.994 | 0.747 |
S08 | 0.869 | 0.571 | 0.997 | 0.805 |
S09 | 0.752 | 0.522 | 0.991 | 0.731 |
S10 | 0.794 | 0.574 | 0.987 | 0.766 |
S11 | 0.722 | 0.538 | 0.977 | 0.718 |
S12 | 0.750 | 0.507 | 0.996 | 0.726 |
S13 | 0.651 | 0.526 | 0.995 | 0.682 |
S14 | 0.845 | 0.516 | 0.998 | 0.777 |
S15 | 0.622 | 0.382 | 0.997 | 0.625 |
S16 | 0.844 | 0.588 | 0.995 | 0.798 |
S17 | 0.693 | 0.630 | 0.984 | 0.732 |
S18 | 0.862 | 0.674 | 0.998 | 0.833 |
S19 | 0.655 | 0.510 | 0.952 | 0.671 |
S20 | 0.846 | 0.710 | 0.991 | 0.834 |
S21 | 0.797 | 0.542 | 0.994 | 0.760 |
S22 | 0.797 | 0.607 | 0.996 | 0.780 |
S23 | 0.795 | 0.801 | 0.99 | 0.836 |
S24 | 0.905 | 0.715 | 0.994 | 0.866 |
S25 | 0.783 | 0.577 | 0.987 | 0.762 |
S26 | 0.925 | 0.576 | 0.996 | 0.835 |
S27 | 0.638 | 0.691 | 0.990 | 0.724 |
S28 | 0.966 | 0.866 | 0.989 | 0.940 |
S29 | 0.854 | 0.753 | 0.993 | 0.851 |
S30 | 0.846 | 0.751 | 0.956 | 0.840 |