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arXiv · 2603.08823

Fish Audio S2 Technical Report

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 ms.Our code and weights are available on GitHub (https://github.com/fishaudio/fish-speech) and Hugging Face (https://huggingface.co/fishaudio/s2-pro). We highly encourage readers to visit https://fish.audio to try custom voices.

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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. 2026-03-09. Fish Audio S2 Technical Report. https://arxiv.org/abs/2603.08823

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