Omnivoice Tts

This is a skill for OmniVoice, a zero-shot TTS model that covers 600+ languages and lets you clone voices from short audio clips, design voices with text prompts like "female, British accent, low pitch," or just generate speech without any reference at all. It's built on diffusion models and runs fast enough for real work (RTF around 0.025). The Python API is clean and you can either provide reference audio with transcription for cloning, describe speaker attributes for voice design, or let it pick a random voice. It supports non-verbal tags like [laughter] and pronunciation hints in both English and Chinese. If you need production-grade multilingual TTS with flexible voice control, this handles the full pipeline from installation to batch inference.

skills.sh installs: 627
GitHub stars: 61
last updated: Jul 14, 2026

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Install

$ npx -y skills add aradotso/trending-skills --skill omnivoice-tts --agent claude-code

Installs into .claude/skills of the current project.

Files

OmniVoice TTS Skill

Skill by ara.so — Daily 2026 Skills collection.

OmniVoice is a state-of-the-art zero-shot TTS model supporting 600+ languages, built on a diffusion language model-style architecture. It supports voice cloning (from reference audio), voice design (via text attributes), and auto voice generation with RTF as low as 0.025.

Installation

Requirements

Python 3.9+
PyTorch 2.8+
CUDA (recommended) or Apple Silicon (MPS) or CPU

pip (recommended)

# Step 1: Install PyTorch for your platform

# NVIDIA GPU (CUDA 12.8)
pip install torch==2.8.0+cu128 torchaudio==2.8.0+cu128 --extra-index-url https://download.pytorch.org/whl/cu128

# Apple Silicon
pip install torch==2.8.0 torchaudio==2.8.0

# Step 2: Install OmniVoice
pip install omnivoice

# Or from source (latest)
pip install git+https://github.com/k2-fsa/OmniVoice.git

# Or editable dev install
git clone https://github.com/k2-fsa/OmniVoice.git
cd OmniVoice
pip install -e .

uv

git clone https://github.com/k2-fsa/OmniVoice.git
cd OmniVoice
uv sync
# With mirror: uv sync --default-index "https://mirrors.aliyun.com/pypi/simple"

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