Procedural voice-acting captions from expert VoiceNet/EmoNet/genuineness/vocal-burst scores: terse tags, inline detected bursts (locator@0.75 -> confirm -> duration & no-burst gates), Empathic-Insight gender gate, on-the-fly caption augmentation.

Emotion x voice x delivery-condition study on MOSS-TTS voice-acting: 6 voices, 40 emotions, 4 conditions, best-of-32.

Character voice clusters — VoiceNet embedding + age/background buckets, procedural captions

MOSS-TTS voice-acting demo grids (DramaBox reinterpretations, LoRA merges, VoiceNet & character voices)

Vocal Burst Classifier V2 — 83-class non-speech vocalization classifier (LAION). Demo + docs.

Readme pointing to the open-sci-ref-0.02 release in LAION-AI/open-sci-ref

MOSS-VA-v2 conditioning manual: 40 emotions (best prompt + LoRA merge %, reward, correlations) — MD skill + HTML

Evolutionary edge-case search: extreme vocalizations per emotion LoRA

Evolutionary maximization of all 40 emotions (10 generations, mean-of-8)

VoiceNet-dimension LoRA evolution: 50% vs 100% dose + optimal prompting (10 generations)