Turn a speech clip into a structured voice-acting caption (GENERAL + per-sentence SCRIPT with delivery cues, inline vocal bursts, and pause markers) using MOSS-Audio-Thinking. Baseline 8B-Thinking / 8B-No-Think variants, full docs, model links, example inference, and Gemini-judged evaluation.

Procedural voice captioning from VoiceNet + genuineness + vocal-burst-blend + EmoNet predictions, with baseline z-score statistics.

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)