HomeFish Audio Launches S2: Open-Source Model Enables Word-Level Emotion Control
Fish Audio has officially launched its new text-to-speech model, S2, representing a significant leap forward in expressiveness and controllability for open-source TTS technology.
Named Fish Audio S2, this model prioritizes powerful emotional control. Users can make fine-grained adjustments to prosody and emotion using natural language instructions. By inserting tags like [laugh], [whisper], or [super happy], or even using free-form descriptions such as [professional broadcast tone] or [pitch up], it enables precise, word-level control to generate highly expressive and naturally vivid speech.
Key features include:
Completely open source: The model weights, fine-tuning code, and streaming inference engine based on SGLang are all publicly available on GitHub and Hugging Face. S2-Pro is the flagship version with approximately 4.4 billion parameters.Ultra-low latency: Inference latency is under 150 milliseconds, making it ideal for real-time applications like chatbots and virtual streamers.Native multi-speaker support: It can process multiple speakers in a single inference, handling conversational turns, interruptions, and natural emotional delivery while maintaining consistent voice quality without extra processing.Fish Audio reports that S2 was trained on roughly 10 million hours of audio data spanning nearly 50 languages. Utilizing reinforcement learning alignment and a dual autoregressive architecture, it demonstrates leading naturalness and expressiveness in multiple benchmarks. It is considered one of the most emotionally intelligent TTS systems available, open-source or proprietary. "True linguistic freedom starts now," Fish Audio announced, marking the arrival of AI speech with genuine emotion and personality.
GitHub:https://github.com/fishaudio/fish-speech/
HuggingFace:https://huggingface.co/fishaudio/s2-pro/
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Fish Audio has officially launched its new text-to-speech model, S2, representing a significant leap forward in expressiveness and controllability for open-source TTS technology.
Named Fish Audio S2, this model prioritizes powerful emotional control. Users can make fine-grained adjustments to prosody and emotion using natural language instructions. By inserting tags like [laugh], [whisper], or [super happy], or even using free-form descriptions such as [professional broadcast tone] or [pitch up], it enables precise, word-level control to generate highly expressive and naturally vivid speech.
Key features include:
Completely open source: The model weights, fine-tuning code, and streaming inference engine based on SGLang are all publicly available on GitHub and Hugging Face. S2-Pro is the flagship version with approximately 4.4 billion parameters.Ultra-low latency: Inference latency is under 150 milliseconds, making it ideal for real-time applications like chatbots and virtual streamers.Native multi-speaker support: It can process multiple speakers in a single inference, handling conversational turns, interruptions, and natural emotional delivery while maintaining consistent voice quality without extra processing.Fish Audio reports that S2 was trained on roughly 10 million hours of audio data spanning nearly 50 languages. Utilizing reinforcement learning alignment and a dual autoregressive architecture, it demonstrates leading naturalness and expressiveness in multiple benchmarks. It is considered one of the most emotionally intelligent TTS systems available, open-source or proprietary. "True linguistic freedom starts now," Fish Audio announced, marking the arrival of AI speech with genuine emotion and personality.
GitHub:https://github.com/fishaudio/fish-speech/
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