From: An investigation of supervector regression for forensic voice comparison on small data
 |  | 60 female speaker database (degraded conditions) | 60 female speaker database (mismatched conditions) | ||
---|---|---|---|---|---|
 |  | Validity ( C llr mean) | Reliability (95% CI) | Validity ( C llr mean) | Reliability (95% CI) |
GMM-UBM | Gradient projection, \( {s}_{\ell_1\mathrm{norm}} \) | 35.1% | 0.3% | 23.1% | 7.0% |
LS, \( {s}_{\ell_1\mathrm{norm}} \) | 37.9% | 1.1% | 24.0% | 6.8% | |
s SVM | Gradient projection, \( {s}_{\ell_1\mathrm{norm}} \) | 38.9% | 11.4% | 10.6% | 2.8% |
LS, \( {s}_{\ell_1\mathrm{norm}} \) | 41.5% | 12.1% | 11.6% | 2.5% |