k2-fsa

k2-fsa / OmniVoice

Public

High-Quality Voice Cloning TTS for 600+ Languages

1,442
233
100% credibility
Found Apr 03, 2026 at 940 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

OmniVoice is a zero-shot multilingual text-to-speech system supporting over 600 languages with voice cloning, customizable voice design, and fast real-time generation via a simple web demo or Python API.

How It Works

1
🌍 Discover OmniVoice

You find this amazing tool that turns text into speech in over 600 languages, perfect for voice cloning or creating custom voices.

2
📦 Get it ready

With one simple command, you install it on your computer, no hassle.

3
🚀 Open the playground

Launch a friendly web page right on your screen to play with voices instantly.

4
Pick your style
👤
Copy a voice

Upload a short clip of someone speaking to mimic their voice perfectly.

🎨
Design a voice

Describe what you want, like 'young female with British accent'.

🎲
Surprise me

Let the tool pick a fun voice automatically.

5
💬 Type your words

Enter any text in your language and hit generate.

6
🔊 Listen and save

Hear the lifelike speech and download your audio file.

✨ Your voices come alive

Now you have custom speech for stories, videos, or fun in any language, super fast and natural!

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Star Growth

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AI-Generated Review

What is OmniVoice?

OmniVoice is a Python TTS library that clones voices from short audio clips and generates speech in 600+ languages, delivering high-quality voice generator output with real-time factor as low as 0.025. It solves the pain of building multilingual voice apps by supporting zero-shot cloning, custom voice design via text prompts like "female, British accent," and non-verbal sounds like laughter. Install via pip, run a Gradio web demo with `omnivoice-demo`, or use CLI tools like `omnivoice-infer` for single files and batch processing.

Why is it gaining traction?

It crushes alternatives with unmatched language coverage and seamless voice cloning without fine-tuning, plus voice design for accents, dialects, and styles—ideal for high quality voice changer apps. Developers love the fast inference on GPUs/CPUs, Python API for easy integration, and Hugging Face Spaces for instant testing. At 634 stars, it's pulling in users tired of slow, English-only TTS like basic Tortoise or ElevenLabs clones.

Who should use this?

ML engineers prototyping global voice AI for podcasts, games, or virtual assistants needing rare languages. App devs building high quality voice recorder integrations or content tools for non-English markets. Researchers evaluating multilingual TTS baselines with its eval scripts for WER, MOS, and speaker similarity.

Verdict

Grab it if you need broad multilingual TTS with cloning—docs and demos are polished for quick starts. 1.0% credibility score and v0.1.1 tag signal early maturity despite 634 stars; test thoroughly before production.

(198 words)

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