Computer Science > Sound
arXiv:2603.08823 (cs)
[Submitted on 9 Mar 2026]
Title:Fish Audio S2 Technical Report
Authors:Shijia Liao, Yuxuan Wang, Songting Liu, Yifan Cheng, Ruoyi Zhang, Tianyu Li, Shidong Li, Yisheng Zheng, Xingwei Liu, Qingzheng Wang, Zhizhuo Zhou, Jiahua Liu, Xin Chen, Dawei Han
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Abstract:We introduce Fish Audio S2, an open-sourced text-to-speech system featuring multi-speaker, multi-turn generation, and, most importantly, instruction-following control via natural-language descriptions. To scale training, we develop a multi-stage training recipe together with a staged data pipeline covering video captioning and speech captioning, voice-quality assessment, and reward modeling. To push the frontier of open-source TTS, we release our model weights, fine-tuning code, and an SGLang-based inference engine. The inference engine is production-ready for streaming, achieving an RTF of 0.195 and a time-to-first-audio below 100 this http URL code and weights are available on GitHub (this https URL) and Hugging Face (this https URL). We highly encourage readers to visit this https URL to try custom voices.
| Subjects: | Sound (cs.SD); Artificial Intelligence (cs.AI); Computation and Language (cs.CL) |
| Cite as: | arXiv:2603.08823 [cs.SD] |
| (or arXiv:2603.08823v1 [cs.SD] for this version) | |
| https://doi.org/10.48550/arXiv.2603.08823
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