sherpa-onnx-tts

Generate speech from text offline using the sherpa-onnx engine.

67|24|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/openxjarvis/openclaw-python --skill sherpa-onnx-tts-openxjarvis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sherpa-onnx-tts
Source: https://github.com/openxjarvis/openclaw-python/tree/main/skills/sherpa-onnx-tts
Command: npx skills add https://github.com/openxjarvis/openclaw-python --skill sherpa-onnx-tts-openxjarvis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill enables local, offline text-to-speech conversion, eliminating the need for an internet connection and cloud-based services for voice generation.

Core Features & Use Cases

  • Local TTS: Generates speech directly on your machine using the sherpa-onnx engine.
  • Offline Operation: Functions without any internet connectivity, ensuring privacy and reliability.
  • Customizable Voices: Supports various voice models that can be downloaded and configured.
  • Use Case: Convert meeting notes or important documents into audio files for listening on the go, without relying on external APIs.

Quick Start

Use the sherpa-onnx-tts skill to convert the text "This is a test of local text to speech" 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 locally without an internet connection?

Offline text-to-speech synthesis generates audio directly on your machine without an internet connection. Using the sherpa-onnx engine, it operates entirely offline and requires pre-downloaded runtime and voice model assets configured via environment variables or flags.

Can I convert meeting notes or documents into audio files for offline listening?

Yes, you can convert meeting notes or documents into audio files for offline listening. The local text-to-speech synthesis processes your text inputs and outputs audio files, such as WAV, entirely on your machine without relying on external APIs or network connectivity.

Do I need to download voice models separately to use local text-to-speech?

Yes, local text-to-speech requires pre-downloaded runtime and voice model assets before generating audio. You must configure these voice models using environment variables or flags to ensure the offline synthesis engine can access them during processing.

Does offline text-to-speech work without external dependencies or cloud APIs?

Offline text-to-speech works completely without external dependencies or cloud APIs. The synthesis is performed locally using the sherpa-onnx engine, ensuring privacy and reliability by eliminating the need for any internet connectivity during voice generation.

What are the limitations of using local text-to-speech for voice generation?

The main limitation of local text-to-speech is the requirement for pre-downloaded runtime and voice model assets. You must manually configure these assets via environment variables or flags before synthesis, and the available voices depend entirely on the models you have downloaded.