fishaudio/fish-speech

Health v2 · maintenance only

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32413 stars · 2797 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Fish Speech is an open-source state-of-the-art text-to-speech system (Fish Audio S2) trained on over 10 million hours of audio across ~50 languages, using a Dual-Autoregressive architecture with reinforcement learning alignment. It supports voice cloning, inline prosody/emotion control via natural-language tags, multi-speaker and multi-turn generation, with CLI, WebUI, and API server deployment options.

Use cases

• generate natural speech from text
• clone a voice from a short audio sample
• build a multilingual TTS API server
• add expressive emotional narration with tags like [laugh] and [whispers]
• generate multi-speaker dialogue audio
• self-host a text-to-speech service with Docker

When to choose

• you need state-of-the-art TTS quality with low word error rates
• you want fine-grained emotion and prosody control in generated speech
• you need multilingual speech generation across ~50 languages
• you can run inference on a 24GB GPU and want self-hosted deployment

When to avoid

• you need a permissively licensed model for unrestricted commercial use (custom research license applies)
• you only have CPU-only or low-VRAM hardware
• you need real-time on-device TTS for mobile or embedded devices

Facets

library · maturity active

tts speech-recognition machine-learning llm-inference audio-processing speech-processing deep-learning artificial-intelligence python cross-platform voice-cloning text-to-speech zero-shot-tts multilingual emotion-control vqgan autoregressive audio linux docker gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="fishaudio/fish-speech")