VoiceAcousticTransfer/README.md

VoiceAcousticTransfer — P2a noise_flow (2026-07-09)

• p2a_noise_flow_scaled_lufs20_40k_best_step40000.pt — recording-condition transfer model (conditional flow matching, hidden 1024 / depth 16 / heads 16, 40k steps, LUFS-normalized raw-DAC caches). Optimizer stripped; contains model + EMA + all metadata incl. latent_scale (1.652), daps_to_idx, style_to_idx. Inference: Euler t 0->1, 32 steps, joint-axis CFG 2.0; inputs loudness-normalized to -20 LUFS.
• trackb_condition_analyzer_best.pt — standalone recording-condition analyzer (contrastive encoder + a18/recipe-parameter regression + DAPS classifier heads).
• condition_gmm.joblib — in-the-wild condition prior (GMM over analyzer embeddings).

Code, evaluation harness, and usage: https://github.com/Kiberchaika/VoiceAcousticTransfer (branch rec-con-diffusion); run log 8jul_acoustictransfer_evolution_report_journal.md.