LAION MOSS Local-Transformer 1.5 voice-acting model (4.55B, 48 kHz) — inference, fast-inference guide, best-of-64 audio demos

Self-contained DramaBox voice acting pipeline: VoiceNet taxonomy, multi-GPU prompt generation, TTS synthesis, and audio refinement

VoiceNet — perceptual voice & speech dimension models, data, and demos

MOSS-TTS-v1.5 8B voice-acting model — inference (single + fast batched), training recipe, evals, and throughput benchmarks. Apache-2.0.

User interaction data is mostly opaque and saved in big tech companies (Claude, OpenAI, Google). This project tries to engage the public to use v1-compatible endpoints and frontend chats to donate its user interaction data for the development of future open frontier models.

Collection of three complementary voice taxonomies: VoiceNet (59 speech dimensions), EmoNet (40 emotion categories), VocalBurst (82 non-speech sounds)

Audio -> DramaBox performance prompts: procedural (Empathic-Insight-Voice-Plus) and ensemble (whisper experts + vocal bursts -> Gemma-4-4B) paths.

Detect & caption vocal bursts (laughs, sighs, gasps, screams...) — laion/vocalburst-locator + laion/vocalburst-captioning-whisper ensemble. Inference code, weights, benchmark & demo.