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Fish Audio S2

Fully open-source TTS model with under 150ms latency, open domain instruction, multi-speaker support, and 80+ languages.

Introduction

Fish Audio S2 is a cutting-edge text-to-speech (TTS) model designed for high expressiveness, ultra-low latency, and complete openness. Built from the ground up, it enables real-time conversational AI, live dubbing, and interactive voice applications with production-ready performance.

Key Features:

  • Ultra-Low Latency: Achieves under 150ms response time, making it suitable for real-time applications.
  • Open Domain Instruction: Control emotions, paralanguage, and expressive elements through natural text directions (e.g., [laughing], [whispering], [excited]).
  • Native Multi-Speaker Support: Seamlessly switch between speakers in a single generation for natural dialogues.
  • Fully Open-Source: Model weights and inference code are completely open-source, allowing local deployment, fine-tuning, and integration without vendor lock-in.
  • 80+ Languages: High-quality, natural-sounding output across a wide range of languages with native pronunciation.

Use Cases:

  • Conversational AI: Real-time voice interactions for chatbots and virtual assistants.
  • Live Dubbing: Instant voiceovers for live content.
  • Interactive Applications: Voice-enabled games, educational tools, and accessibility features.
  • Content Creation: Audiobooks, podcasts, and video narration with expressive control.
  • Developer Integration: API access for building custom voice applications with Python SDK support.

Target Users: Developers, content creators, startups, and enterprises seeking transparent, high-performance TTS solutions with full control over their infrastructure.

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