canopyai/Orpheus-TTS

Health v2 · maintenance only

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Adoption not part of the score

6314 stars · 535 forks observed · 2026-08-28

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

Orpheus TTS is an open-source text-to-speech system built on a Llama-3b backbone that produces human-sounding speech with emotion control and zero-shot voice cloning. It supports low-latency streaming (~200ms) for realtime applications and includes pretrained, finetuned, and multilingual model releases.

Use cases

• generate natural-sounding speech from text
• clone a voice without fine-tuning
• build a realtime voice assistant with low latency
• control emotion and intonation in synthesized speech
• fine-tune a TTS model for a new language
• stream audio for a voice chatbot

When to choose

• you need expressive, human-like TTS with emotion tags
• you want zero-shot voice cloning without training data
• you need low-latency streaming speech for realtime apps
• you want an open-source LLM-based TTS you can fine-tune yourself

When to avoid

• you need a lightweight TTS without GPU hardware
• you only need simple robotic TTS for embedded devices
• you require production support for many languages beyond the released set

Facets

library · maturity active

tts llm-inference speech-recognition machine-learning speech-processing large-language-models deep-learning artificial-intelligence python cloud text-to-speech voice-cloning streaming llama-backbone multilingual realtime-audio gpu docker

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For agents

markdown · JSON · MCP: product_card(name="canopyai/Orpheus-TTS")