| [ |
| { |
| "name": "9sys_+flux+f0", |
| "experiment_id": 18, |
| "lock_date": "2026-02-18", |
| "overall_eer": 4.44, |
| "mean_attack_eer": 3.09, |
| "worst_eer": 14.63, |
| "worst_attack": "A18", |
| "per_attack_eer": { |
| "A07": 1.11, |
| "A08": 0.34, |
| "A09": 0.02, |
| "A10": 2.3, |
| "A11": 0.42, |
| "A12": 1.27, |
| "A13": 0.14, |
| "A14": 5.55, |
| "A15": 2.36, |
| "A16": 1.17, |
| "A17": 11.48, |
| "A18": 14.63, |
| "A19": 0.38 |
| }, |
| "architecture": "9 classifiers (3 codecs x 3 core features: LFCC/CQCC/MGDCC). Each classifier's input = core_feature(360-dim) + spectral_flux(12-dim) + f0_trajectory(24-dim) = 396-dim. Per-system StandardScaler, LogisticRegression(C=0.1, solver=lbfgs, max_iter=2000, seed=42). Min-max score normalization per system, avg_score fusion across 9 systems.", |
| "codecs": [ |
| "wideband", |
| "g711_ulaw", |
| "amr_nb" |
| ], |
| "feature_types": [ |
| "lfcc", |
| "cqcc", |
| "mgdcc", |
| "spectral_flux", |
| "f0_trajectory" |
| ], |
| "baseline_role": "canonical", |
| "canonical": true |
| }, |
| { |
| "name": "mega_all5", |
| "experiment_id": 18, |
| "lock_date": "2026-02-18", |
| "overall_eer": 4.7, |
| "mean_attack_eer": 3.04, |
| "worst_eer": 18.31, |
| "worst_attack": "A14", |
| "per_attack_eer": { |
| "A07": 0.78, |
| "A08": 0.26, |
| "A09": 0.0, |
| "A10": 1.85, |
| "A11": 0.32, |
| "A12": 0.95, |
| "A13": 0.09, |
| "A14": 18.31, |
| "A15": 1.99, |
| "A16": 0.8, |
| "A17": 5.73, |
| "A18": 8.06, |
| "A19": 0.42 |
| }, |
| "architecture": "3 mega-classifiers (1 per codec). Each classifier's input = LFCC(360) + CQCC(360) + MGDCC(360) + spectral_flux(12) + f0_trajectory(24) = 1116-dim. Per-codec StandardScaler, LogisticRegression(C=0.1, solver=lbfgs, max_iter=2000, seed=42). Min-max score normalization per codec, avg_score fusion across 3 codecs.", |
| "codecs": [ |
| "wideband", |
| "g711_ulaw", |
| "amr_nb" |
| ], |
| "feature_types": [ |
| "lfcc", |
| "cqcc", |
| "mgdcc", |
| "spectral_flux", |
| "f0_trajectory" |
| ], |
| "baseline_role": "canonical", |
| "canonical": true |
| }, |
| { |
| "name": "delta_pareto_9sys", |
| "experiment_id": 20, |
| "lock_date": "2026-02-19", |
| "overall_eer": 4.15, |
| "mean_attack_eer": 2.76, |
| "worst_eer": 12.33, |
| "worst_attack": "A17", |
| "per_attack_eer": { |
| "A07": 0.68, |
| "A08": 0.22, |
| "A09": 0.01, |
| "A10": 2.9, |
| "A11": 0.29, |
| "A12": 0.82, |
| "A13": 0.08, |
| "A14": 3.7, |
| "A15": 2.3, |
| "A16": 0.78, |
| "A17": 12.33, |
| "A18": 8.4, |
| "A19": 0.28 |
| }, |
| "architecture": "9 classifiers (3 codecs x 3 core features: LFCC/CQCC/MGDCC). Each classifier's input = delta(static+\u0394+\u0394\u0394, 1080-dim) + spectral_flux(12-dim) + f0_trajectory(24-dim) = 1116-dim. Per-system StandardScaler, LogisticRegression(C=0.1, solver=lbfgs, max_iter=2000, seed=42). Min-max score normalization per system, Pareto-weighted avg_score fusion (wideband=1.5, g711_ulaw=1.5, amr_nb=1.0).", |
| "codecs": [ |
| "wideband", |
| "g711_ulaw", |
| "amr_nb" |
| ], |
| "feature_types": [ |
| "lfcc", |
| "cqcc", |
| "mgdcc", |
| "spectral_flux", |
| "f0_trajectory" |
| ], |
| "baseline_role": "canonical", |
| "canonical": true |
| }, |
| { |
| "name": "exp37b_blend_1500d", |
| "experiment_id": 37, |
| "lock_date": "2026-02-22", |
| "overall_eer": 3.13, |
| "mean_attack_eer": 1.91, |
| "worst_eer": 9.88, |
| "worst_attack": "A17", |
| "per_attack_eer": { |
| "A07": 0.56, |
| "A08": 0.7, |
| "A09": 0.0, |
| "A10": 1.45, |
| "A11": 0.0, |
| "A12": 0.5, |
| "A13": 0.0, |
| "A14": 1.78, |
| "A15": 1.82, |
| "A16": 0.7, |
| "A17": 9.88, |
| "A18": 6.05, |
| "A19": 1.45 |
| }, |
| "architecture": "27 classifiers (3 codecs x 3 core features x 3 classifier types). Each classifier's input = delta(static+\u0394+\u0394\u0394, 1080-dim) + spectral_flux(12-dim) + f0_trajectory(24-dim) + IFCC_delta(360-dim) + HF/LF_comod(24-dim) = 1500-dim. Three classifier types per (codec, core_feature): (1) Standard LR(C=0.1, solver=lbfgs, max_iter=2000, seed=42); (2) OHEM-LR: two-pass LR with loss-based sample weights from pass-1 (cap=5.0); (3) Shallow LGBM(n_estimators=200, max_depth=4, learning_rate=0.05, subsample=0.8, colsample_bytree=0.8, seed=42). Per-system StandardScaler, min-max score normalization. Pareto-weighted avg_score per classifier type (wideband=1.5, g711_ulaw=1.5, amr_nb=1.0). 3-component blend: score = 0.66 \u00d7 OHEM + 0.04 \u00d7 LGBM + 0.30 \u00d7 LR.", |
| "codecs": [ |
| "wideband", |
| "g711_ulaw", |
| "amr_nb" |
| ], |
| "feature_types": [ |
| "lfcc", |
| "cqcc", |
| "mgdcc", |
| "spectral_flux", |
| "f0_trajectory", |
| "ifcc", |
| "hf_lf_comod" |
| ], |
| "baseline_role": "canonical", |
| "canonical": true |
| }, |
| { |
| "name": "exp40_cqcc_blend", |
| "experiment_id": 40, |
| "lock_date": "2026-02-24", |
| "overall_eer": 3.35, |
| "mean_attack_eer": 2.4, |
| "worst_eer": 7.53, |
| "worst_attack": "A17", |
| "per_attack_eer": { |
| "A07": 1.46, |
| "A08": 1.47, |
| "A09": 0.01, |
| "A10": 2.45, |
| "A11": 0.24, |
| "A12": 0.1, |
| "A13": 0.01, |
| "A14": 2.41, |
| "A15": 3.06, |
| "A16": 1.37, |
| "A17": 7.53, |
| "A18": 6.62, |
| "A19": 4.48 |
| }, |
| "architecture": "27 classifiers (3 codecs x 3 core features x 3 classifier types). Each classifier's input = delta(static+\u0394+\u0394\u0394, 1080-dim) + spectral_flux(12-dim) + f0_trajectory(24-dim) + IFCC_delta(360-dim) + HF/LF_comod(24-dim) = 1500-dim. Three classifier types per (codec, core_feature): (1) Standard LR(C=0.1, solver=lbfgs, max_iter=2000, seed=42); (2) OHEM-LR: two-pass LR with loss-based sample weights from pass-1 (cap=5.0); (3) Shallow LGBM(n_estimators=200, max_depth=4, learning_rate=0.05, subsample=0.8, colsample_bytree=0.8, seed=42). Per-system StandardScaler, min-max score normalization. CQCC-weighted Pareto fusion (CQCC=1.5, LFCC=0.75, MGDCC=0.25) with codec weights (wideband=1.5, g711_ulaw=1.5, amr_nb=1.0). 3-component blend: score = 0.60 \u00d7 OHEM + 0.16 \u00d7 LGBM + 0.24 \u00d7 LR.", |
| "codecs": [ |
| "wideband", |
| "g711_ulaw", |
| "amr_nb" |
| ], |
| "feature_types": [ |
| "lfcc", |
| "cqcc", |
| "mgdcc", |
| "spectral_flux", |
| "f0_trajectory", |
| "ifcc", |
| "hf_lf_comod" |
| ], |
| "baseline_role": "canonical", |
| "canonical": true |
| }, |
| { |
| "name": "exp44_scc_cqcc_blend", |
| "experiment_id": 44, |
| "lock_date": "2026-02-26", |
| "overall_eer": 3.48, |
| "mean_attack_eer": 2.54, |
| "worst_eer": 7.83, |
| "worst_attack": "A17", |
| "per_attack_eer": { |
| "A07": 2.15, |
| "A08": 1.88, |
| "A09": 0.02, |
| "A10": 2.62, |
| "A11": 0.13, |
| "A12": 0.14, |
| "A13": 0.14, |
| "A14": 2.65, |
| "A15": 2.9, |
| "A16": 1.85, |
| "A17": 7.83, |
| "A18": 5.25, |
| "A19": 5.5 |
| }, |
| "architecture": "27 classifiers (3 codecs x 3 core features x 3 classifier types). Each classifier's input = delta(static+\u0394+\u0394\u0394, 1080-dim) + spectral_flux(12-dim) + f0_trajectory(24-dim) + IFCC_delta(360-dim) + HF/LF_comod(24-dim) + SCC_delta(360-dim) = 1860-dim. SCC = wavelet scattering transform (J=2, Q=10, order=2) \u2192 log \u2192 DCT (20 coeffs). Three classifier types per (codec, core_feature): (1) Standard LR(C=0.1, solver=lbfgs, max_iter=2000, seed=42); (2) OHEM-LR: two-pass LR with loss-based sample weights from pass-1 (cap=5.0); (3) Shallow LGBM(n_estimators=200, max_depth=4, learning_rate=0.05, subsample=0.8, colsample_bytree=0.8, seed=42). Per-system StandardScaler, Platt-calibrated scores (LogisticRegression on 1D). CQCC-weighted Pareto fusion (CQCC=2.5, LFCC=0.5, MGDCC=0.25, strong-B) with codec weights (wideband=1.5, g711_ulaw=1.5, amr_nb=1.0). 3-component blend: score = 0.47 \u00d7 OHEM + 0.15 \u00d7 LGBM + 0.38 \u00d7 LR.", |
| "codecs": [ |
| "wideband", |
| "g711_ulaw", |
| "amr_nb" |
| ], |
| "feature_types": [ |
| "lfcc", |
| "cqcc", |
| "mgdcc", |
| "spectral_flux", |
| "f0_trajectory", |
| "ifcc", |
| "hf_lf_comod", |
| "scc_delta" |
| ], |
| "baseline_role": "canonical", |
| "canonical": true |
| } |
| ] |
