| { |
| "best_score": 0.8717984402306947, |
| "best_model_path": "/root/.AUQUA-S/ULTIMATE-PERFECTION-B/iteration1_strategy11_balanced_enhancement_var1.5", |
| "best_strategy": "balanced_enhancement_var1.5", |
| "best_metrics": { |
| "mel_cepstral_distortion": 0.9756919899430131, |
| "word_error_rate": 0.05796324645813618, |
| "naturalness": 0.9478870529232913, |
| "intelligibility": 0.9896102349876776, |
| "speaker_similarity": 0.9366370051086248, |
| "prosody": 0.9060311028757311, |
| "overall_quality": 0.9278873935809157, |
| "weighted_score": 0.8717984402306947 |
| }, |
| "iterations_performed": 3, |
| "final_model_path": "/root/.AUQUA-S/ULTIMATE-PERFECTION-B/top1_optimized_model", |
| "optimization_timestamp": "2025-05-20T16:21:58.506991", |
| "seed": 1747756141, |
| "total_strategies_tested": 36, |
| "strategy_effectiveness": { |
| "attention_scale": 1.4597807785956425, |
| "output_scale": 1.4199700811353921, |
| "projection_scale": 1.4401990918918528, |
| "encoder_scale": 1.2802888484856765, |
| "decoder_scale": 1.3597807785956424, |
| "base_enhancement": 0.002189766094567488, |
| "importance_factor": 1.663541635353837 |
| } |
| } |
