Fish Audio has published a technical report for Fish Audio Drama 3, an open-source speech generation model that it says turns text into directed performances. The model uses a 35B-parameter mixture-of-experts backbone activating 3B parameters per token, clones voices from multiple references, follows natural-language direction, and adds multi-turn revision, multi-character scene dubbing, editing by infilling and streaming text input. The report pairs a hybrid linear-attention backbone with a new codebook multi-token-prediction audio decoder, and describes training via three-stage pre-training, instruction fine-tuning and large-batch reinforcement learning rewarded by a single learned human-preference model. Weights are said to be available on GitHub and Hugging Face with inference through SGLang-Omni, and the authors report 271 frames per second for single-stream decoding on one H200 versus 177 for Fish Audio S2.