3B Orpheus TTS (0.1)

Orpheus TTS is an open-source text-to-speech (TTS) system powered by the Llama 3B language model, designed for high-quality and customizable speech synthesis.


Pricing

Serverless Pricing

Buy credits that can be used anywhere on Segmind

$ 0.0013 /per gpu second

3B Orpheus TTS (0.1): Powering Audio Innovation

The 3B Orpheus TTS (0.1) by Canopy Labs is a game-changing text-to-speech model for developers and creators. Built on a 3-billion-parameter Llama-based Speech-LLM, trained on 100,000 hours of audio, and released under the Apache 2.0 license, it’s open-source and ready to transform your projects.

Key Features

  • Zero-Shot Voice Cloning: Replicate any voice instantly.
  • Emotion Control: Add mood with simple tags.
  • Low Latency: ~200ms streaming, down to ~100ms with optimization.
  • Multimodal Ready: Sync with visuals or animations.

For Developers

  • Easy integration via Python, Colab, or APIs.
  • Streaming support for real-time apps.
  • Lightweight for mobile, edge, or cloud use.

For Creators

  • Natural, emotive speech for narration or dialogue.
  • Clone voices for podcasts, games, or personal projects.
  • No proprietary limits—pure creative freedom.

Tips and Tricks

To get the best results from your TTS model, start with a top-p between 0.6 and 0.9 and a temperature around 0.7 to 1.0 for natural, conversational speech. If you need highly expressive or emotional voices—like for storytelling or character dialogue—increase both parameters (top-p closer to 1.0 and temperature up to 1.5). For more stable, clear, and predictable speech—such as virtual assistants or system prompts—use a lower top-p (0.2–0.5) and temperature (0.3–0.6). These settings help balance clarity, emotion, and control, depending on your use case. Experiment with small increments to fine-tune the voice to your specific needs.

This TTS model goes beyond plain speech—it can bring your audio to life with natural vocal expressions. It supports a range of tags like <laugh>, <chuckle>, <sigh>, <cough>, <sniffle>, <groan>, <yawn>, and <gasp>, allowing you to add realistic human touches to the voice. You can even use filler sounds like "uhm" to make the speech feel more casual and conversational. Whether you're building dialogue for games, interactive stories, or lifelike voice agents, these expressive tags help deliver a more immersive and emotionally rich experience.

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