119 audioqc training

models/audioqc-training-results/training_run_2025-02-21_12-10-09/final_model/training_metadata.json

@@ -0,0 +1,94 @@
+{
+    "best_preprocessing_steps": [
+        [
+            "eliminate",
+            "normalize"
+        ],
+        "scale"
+    ],
+    "best_model_score": 0.55,
+    "model_type": "SVC",
+    "hyperparameters": {
+        "C": 1,
+        "break_ties": false,
+        "cache_size": 200,
+        "class_weight": null,
+        "coef0": 0.0,
+        "decision_function_shape": "ovr",
+        "degree": 3,
+        "gamma": "scale",
+        "kernel": "linear",
+        "max_iter": -1,
+        "probability": false,
+        "random_state": null,
+        "shrinking": true,
+        "tol": 0.001,
+        "verbose": false
+    },
+    "selected_features": [
+        "F0semitoneFrom27.5Hz_sma3nz_stddevNorm",
+        "F0semitoneFrom27.5Hz_sma3nz_stddevRisingSlope",
+        "F0semitoneFrom27.5Hz_sma3nz_meanFallingSlope",
+        "shimmerLocaldB_sma3nz_amean",
+        "shimmerLocaldB_sma3nz_stddevNorm",
+        "F1frequency_sma3nz_stddevNorm",
+        "F1bandwidth_sma3nz_stddevNorm",
+        "F1amplitudeLogRelF0_sma3nz_amean",
+        "F1amplitudeLogRelF0_sma3nz_stddevNorm",
+        "F2frequency_sma3nz_amean",
+        "F2frequency_sma3nz_stddevNorm",
+        "F2bandwidth_sma3nz_stddevNorm",
+        "F2amplitudeLogRelF0_sma3nz_amean",
+        "F2amplitudeLogRelF0_sma3nz_stddevNorm",
+        "F3amplitudeLogRelF0_sma3nz_amean",
+        "F3amplitudeLogRelF0_sma3nz_stddevNorm",
+        "hammarbergIndexV_sma3nz_stddevNorm",
+        "slopeV500-1500_sma3nz_stddevNorm",
+        "mfcc1V_sma3nz_stddevNorm",
+        "MeanVoicedSegmentLengthSec",
+        "StddevUnvoicedSegmentLength",
+        "duration",
+        "speaking_rate",
+        "articulation_rate",
+        "phonation_ratio",
+        "pause_rate",
+        "mean_pause_duration",
+        "mean_f0_hertz",
+        "std_f0_hertz",
+        "mean_intensity_db",
+        "std_intensity_db",
+        "range_ratio_intensity_db",
+        "mean_hnr_db",
+        "std_hnr_db",
+        "spectral_slope",
+        "spectral_tilt",
+        "cepstral_peak_prominence_mean",
+        "cepstral_peak_prominence_std",
+        "mean_f1_loc",
+        "std_f1_loc",
+        "mean_b1_loc",
+        "std_b1_loc",
+        "mean_f2_loc",
+        "std_f2_loc",
+        "mean_b2_loc",
+        "std_b2_loc",
+        "spectral_gravity",
+        "spectral_std_dev",
+        "spectral_skewness",
+        "spectral_kurtosis",
+        "local_jitter",
+        "localabsolute_jitter",
+        "rap_jitter",
+        "ppq5_jitter",
+        "ddp_jitter",
+        "local_shimmer",
+        "localDB_shimmer",
+        "apq3_shimmer",
+        "apq5_shimmer",
+        "apq11_shimmer",
+        "dda_shimmer",
+        "stoi",
+        "pesq",
+        "si_sdr"
+    ]
+}

models/audioqc-training-results/training_run_2025-02-21_12-10-09/site_MIT/inner_loop/eliminate/RandomForest/training_metadata.json

@@ -0,0 +1,29 @@
+{
+    "preprocessing_steps": [
+        "eliminate"
+    ],
+    "mode": null,
+    "cv_score": 0.3,
+    "model_type": "RandomForestClassifier",
+    "hyperparameters": {
+        "bootstrap": true,
+        "ccp_alpha": 0.0,
+        "class_weight": null,
+        "criterion": "gini",
+        "max_depth": 5,
+        "max_features": "sqrt",
+        "max_leaf_nodes": null,
+        "max_samples": null,
+        "min_impurity_decrease": 0.0,
+        "min_samples_leaf": 1,
+        "min_samples_split": 2,
+        "min_weight_fraction_leaf": 0.0,
+        "monotonic_cst": null,
+        "n_estimators": 10,
+        "n_jobs": null,
+        "oob_score": false,
+        "random_state": 42,
+        "verbose": 0,
+        "warm_start": false
+    }
+}

models/audioqc-training-results/training_run_2025-02-21_12-10-09/site_MIT/inner_loop/eliminate/SVM/training_metadata.json

@@ -0,0 +1,25 @@
+{
+    "preprocessing_steps": [
+        "eliminate"
+    ],
+    "mode": null,
+    "cv_score": 0.475,
+    "model_type": "SVC",
+    "hyperparameters": {
+        "C": 1,
+        "break_ties": false,
+        "cache_size": 200,
+        "class_weight": null,
+        "coef0": 0.0,
+        "decision_function_shape": "ovr",
+        "degree": 3,
+        "gamma": "scale",
+        "kernel": "linear",
+        "max_iter": -1,
+        "probability": false,
+        "random_state": null,
+        "shrinking": true,
+        "tol": 0.001,
+        "verbose": false
+    }
+}

models/audioqc-training-results/training_run_2025-02-21_12-10-09/site_MIT/inner_loop/eliminate/selected_features.json

@@ -0,0 +1,66 @@
+[
+    "F0semitoneFrom27.5Hz_sma3nz_stddevNorm",
+    "F0semitoneFrom27.5Hz_sma3nz_percentile50.0",
+    "F0semitoneFrom27.5Hz_sma3nz_stddevRisingSlope",
+    "F0semitoneFrom27.5Hz_sma3nz_stddevFallingSlope",
+    "shimmerLocaldB_sma3nz_amean",
+    "HNRdBACF_sma3nz_amean",
+    "HNRdBACF_sma3nz_stddevNorm",
+    "F1frequency_sma3nz_stddevNorm",
+    "F1bandwidth_sma3nz_stddevNorm",
+    "F1amplitudeLogRelF0_sma3nz_amean",
+    "F1amplitudeLogRelF0_sma3nz_stddevNorm",
+    "F2amplitudeLogRelF0_sma3nz_amean",
+    "F2amplitudeLogRelF0_sma3nz_stddevNorm",
+    "F3amplitudeLogRelF0_sma3nz_amean",
+    "F3amplitudeLogRelF0_sma3nz_stddevNorm",
+    "hammarbergIndexV_sma3nz_stddevNorm",
+    "slopeV500-1500_sma3nz_stddevNorm",
+    "mfcc1V_sma3nz_stddevNorm",
+    "MeanVoicedSegmentLengthSec",
+    "StddevVoicedSegmentLengthSec",
+    "StddevUnvoicedSegmentLength",
+    "duration",
+    "speaking_rate",
+    "articulation_rate",
+    "phonation_ratio",
+    "pause_rate",
+    "mean_pause_duration",
+    "mean_f0_hertz",
+    "std_f0_hertz",
+    "mean_intensity_db",
+    "std_intensity_db",
+    "range_ratio_intensity_db",
+    "mean_hnr_db",
+    "std_hnr_db",
+    "spectral_slope",
+    "spectral_tilt",
+    "cepstral_peak_prominence_mean",
+    "cepstral_peak_prominence_std",
+    "mean_f1_loc",
+    "std_f1_loc",
+    "mean_b1_loc",
+    "std_b1_loc",
+    "mean_f2_loc",
+    "std_f2_loc",
+    "mean_b2_loc",
+    "std_b2_loc",
+    "spectral_gravity",
+    "spectral_std_dev",
+    "spectral_skewness",
+    "spectral_kurtosis",
+    "local_jitter",
+    "localabsolute_jitter",
+    "rap_jitter",
+    "ppq5_jitter",
+    "ddp_jitter",
+    "local_shimmer",
+    "localDB_shimmer",
+    "apq3_shimmer",
+    "apq5_shimmer",
+    "apq11_shimmer",
+    "dda_shimmer",
+    "stoi",
+    "pesq",
+    "si_sdr"
+]

models/audioqc-training-results/training_run_2025-02-21_12-10-09/site_MIT/inner_loop/eliminate_normalize/RandomForest/training_metadata.json

@@ -0,0 +1,30 @@
+{
+    "preprocessing_steps": [
+        "eliminate",
+        "normalize"
+    ],
+    "mode": "both",
+    "cv_score": 0.35,
+    "model_type": "RandomForestClassifier",
+    "hyperparameters": {
+        "bootstrap": true,
+        "ccp_alpha": 0.0,
+        "class_weight": null,
+        "criterion": "gini",
+        "max_depth": 5,
+        "max_features": "sqrt",
+        "max_leaf_nodes": null,
+        "max_samples": null,
+        "min_impurity_decrease": 0.0,
+        "min_samples_leaf": 1,
+        "min_samples_split": 2,
+        "min_weight_fraction_leaf": 0.0,
+        "monotonic_cst": null,
+        "n_estimators": 10,
+        "n_jobs": null,
+        "oob_score": false,
+        "random_state": 42,
+        "verbose": 0,
+        "warm_start": false
+    }
+}

models/audioqc-training-results/training_run_2025-02-21_12-10-09/site_MIT/inner_loop/eliminate_normalize/SVM/training_metadata.json

@@ -0,0 +1,26 @@
+{
+    "preprocessing_steps": [
+        "eliminate",
+        "normalize"
+    ],
+    "mode": "both",
+    "cv_score": 0.475,
+    "model_type": "SVC",
+    "hyperparameters": {
+        "C": 1,
+        "break_ties": false,
+        "cache_size": 200,
+        "class_weight": null,
+        "coef0": 0.0,
+        "decision_function_shape": "ovr",
+        "degree": 3,
+        "gamma": "scale",
+        "kernel": "linear",
+        "max_iter": -1,
+        "probability": false,
+        "random_state": null,
+        "shrinking": true,
+        "tol": 0.001,
+        "verbose": false
+    }
+}

models/audioqc-training-results/training_run_2025-02-21_12-10-09/site_MIT/inner_loop/eliminate_normalize/selected_features.json

@@ -0,0 +1,66 @@
+[
+    "F0semitoneFrom27.5Hz_sma3nz_stddevNorm",
+    "F0semitoneFrom27.5Hz_sma3nz_pctlrange0-2",
+    "F0semitoneFrom27.5Hz_sma3nz_meanRisingSlope",
+    "F0semitoneFrom27.5Hz_sma3nz_stddevRisingSlope",
+    "F0semitoneFrom27.5Hz_sma3nz_stddevFallingSlope",
+    "logRelF0-H1-H2_sma3nz_amean",
+    "F1amplitudeLogRelF0_sma3nz_stddevNorm",
+    "F2amplitudeLogRelF0_sma3nz_stddevNorm",
+    "F3amplitudeLogRelF0_sma3nz_stddevNorm",
+    "alphaRatioV_sma3nz_stddevNorm",
+    "slopeV0-500_sma3nz_amean",
+    "slopeV500-1500_sma3nz_amean",
+    "slopeV500-1500_sma3nz_stddevNorm",
+    "mfcc1V_sma3nz_stddevNorm",
+    "mfcc3V_sma3nz_amean",
+    "mfcc3V_sma3nz_stddevNorm",
+    "mfcc4V_sma3nz_amean",
+    "mfcc4V_sma3nz_stddevNorm",
+    "VoicedSegmentsPerSec",
+    "StddevVoicedSegmentLengthSec",
+    "StddevUnvoicedSegmentLength",
+    "duration",
+    "speaking_rate",
+    "articulation_rate",
+    "phonation_ratio",
+    "pause_rate",
+    "mean_pause_duration",
+    "mean_f0_hertz",
+    "std_f0_hertz",
+    "mean_intensity_db",
+    "std_intensity_db",
+    "range_ratio_intensity_db",
+    "mean_hnr_db",
+    "std_hnr_db",
+    "spectral_slope",
+    "spectral_tilt",
+    "cepstral_peak_prominence_mean",
+    "cepstral_peak_prominence_std",
+    "mean_f1_loc",
+    "std_f1_loc",
+    "mean_b1_loc",
+    "std_b1_loc",
+    "mean_f2_loc",
+    "std_f2_loc",
+    "mean_b2_loc",
+    "std_b2_loc",
+    "spectral_gravity",
+    "spectral_std_dev",
+    "spectral_skewness",
+    "spectral_kurtosis",
+    "local_jitter",
+    "localabsolute_jitter",
+    "rap_jitter",
+    "ppq5_jitter",
+    "ddp_jitter",
+    "local_shimmer",
+    "localDB_shimmer",
+    "apq3_shimmer",
+    "apq5_shimmer",
+    "apq11_shimmer",
+    "dda_shimmer",
+    "stoi",
+    "pesq",
+    "si_sdr"
+]

models/audioqc-training-results/training_run_2025-02-21_12-10-09/site_MIT/inner_loop/eliminate_normalize_winnow/RandomForest/training_metadata.json

@@ -0,0 +1,31 @@
+{
+    "preprocessing_steps": [
+        "eliminate",
+        "normalize",
+        "winnow"
+    ],
+    "mode": "both",
+    "cv_score": 0.475,
+    "model_type": "RandomForestClassifier",
+    "hyperparameters": {
+        "bootstrap": true,
+        "ccp_alpha": 0.0,
+        "class_weight": null,
+        "criterion": "gini",
+        "max_depth": 5,
+        "max_features": "sqrt",
+        "max_leaf_nodes": null,
+        "max_samples": null,
+        "min_impurity_decrease": 0.0,
+        "min_samples_leaf": 1,
+        "min_samples_split": 2,
+        "min_weight_fraction_leaf": 0.0,
+        "monotonic_cst": null,
+        "n_estimators": 10,
+        "n_jobs": null,
+        "oob_score": false,
+        "random_state": 42,
+        "verbose": 0,
+        "warm_start": false
+    }
+}