Research Article
Modulation Spectra Morphological Parameters: A New Method to Assess Voice Pathologies according to the GRBAS Scale
Table 2
Results expressed as efficiency ± confidence interval and Cohen’s Kappa Index using MFCCs and MS features.
| Features | Original subset | Agreement subset | | | | | Efficiency (%) | | Efficiency (%) | | Efficiency (%) | | Efficiency (%) | |
| MFCC | 54.5 ± 6.5 | 0.37 | 53.1 ± 6.5 | 0.51 | 75.9 ± 9.0 | 0.64 | 76.5 ± 9.0 | 0.64 | MFCC + PCA | 56.3 ± 6.5 | 0.39 | 52.2 ± 6.6 | 0.31 | 78.2 ± 8.7 | 0.67 | 74.1 ± 9.3 | 0.60 | MFCC + LDA | 45.5 ± 6.5 | 0.27 | 48.2 ± 6.6 | 0.29 | 65.5 ± 10.0 | 0.48 | 68.3 ± 9.9 | 0.50 |
| MS | 60.3 ± 6.4 | 0.45 | 54.9 ± 6.5 | 0.36 | 81.6 ± 8.1 | 0.72 | 76.5 ± 9.0 | 0.63 | MS + PCA | 58.5 ± 6.5 | 0.43 | 58.0 ± 6.5 | 0.41 | 79.3 ± 8.5 | 0.69 | 78.8 ± 8.7 | 0.68 | MS + LDA | 58.9 ± 6.4 | 0.44 | 59.8 ± 6.4 | 0.43 | 81.6 ± 8.1 | 0.72 | 83.5 ± 7.9 | 0.74 |
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