sherpa-onnx-tts

Generate local speech audio from text using the sherpa-onnx engine.

Updated Mar 26, 2026
One-click install
npx skills add https://github.com/tedtv1007-ctrl/milk-skills-library --skill sherpa-onnx-tts-tedtv1007-ctrl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sherpa-onnx-tts
Source: https://github.com/tedtv1007-ctrl/milk-skills-library/tree/main/sherpa-onnx-tts
Command: npx skills add https://github.com/tedtv1007-ctrl/milk-skills-library --skill sherpa-onnx-tts-tedtv1007-ctrl

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill provides a private, local text-to-speech solution that functions entirely offline, eliminating the need for cloud-based API dependencies or internet connectivity for audio generation.

Core Features & Use Cases

  • Offline Synthesis: Generates natural-sounding speech locally using the sherpa-onnx engine.
  • Model Flexibility: Supports various VITS-based voice models for different tonal requirements.
  • Use Case: Ideal for privacy-sensitive applications, such as reading local documents aloud or generating audio feedback for local automation scripts without sending data to external servers.

Quick Start

Use the sherpa-onnx-tts skill to convert the text Hello from local TTS into an audio file named output.wav.

Frequently Asked Questions about sherpa-onnx-tts

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate speech from text completely offline?

You can generate speech offline by using the sherpa-onnx engine, which performs local text-to-speech synthesis without requiring cloud APIs or internet connectivity to output audio files.

What is the best way to ensure privacy when converting local documents to speech?

The best way to ensure privacy is using offline text-to-speech synthesis. This local approach processes documents entirely on your machine, preventing sensitive data from being sent to external servers.

Can I use VITS voice models for text-to-speech on Linux and macOS?

Yes, you can use VITS-based voice models for text-to-speech synthesis on Linux, macOS, and Windows, provided you have pre-configured the runtime and model directories.

How do I convert text to a WAV audio file for a local automation script?

You can convert text to a WAV file by executing local synthesis tasks. The sherpa-onnx engine generates natural-sounding speech output, ideal for providing audio feedback for automation scripts.

Do I need internet connectivity to run local TTS synthesis?

No, internet connectivity is not required. The local TTS synthesis operates entirely offline using the sherpa-onnx engine, eliminating cloud-based API dependencies for audio generation.

What are the limitations of using offline TTS for speech generation?

A limitation of offline TTS is that it requires pre-configured runtime and model directories to execute synthesis tasks, meaning you must manually manage local VITS voice models instead of accessing them via cloud APIs.