sherpa-onnx-tts

Convert text to speech audio using the sherpa-onnx runtime.

1|1|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/yunseo-kim/agent-toolbox --skill sherpa-onnx-tts-yunseo-kim
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sherpa-onnx-tts
Source: https://github.com/yunseo-kim/agent-toolbox/tree/main/catalog/skills/sherpa-onnx-tts
Command: npx skills add https://github.com/yunseo-kim/agent-toolbox --skill sherpa-onnx-tts-yunseo-kim

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a fully offline, local text-to-speech (TTS) solution, eliminating the need for cloud dependencies and ensuring privacy.

Core Features & Use Cases

  • Local TTS: Generates speech audio directly on your machine.
  • Offline Operation: Works without an internet connection.
  • Multiple Voice Models: Supports various voice models for different speaking styles.
  • Use Case: Convert meeting notes or generated reports into audio files for later listening, all without sending sensitive data to external servers.

Quick Start

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

Local text-to-speech synthesis can be generated offline using the sherpa-onnx runtime and compatible voice models, converting textual data into spoken audio without sending data to external servers.

Can I use offline TTS to convert sensitive meeting notes into audio files?

Offline TTS is suitable for converting sensitive meeting notes or generated reports into audio files, ensuring privacy by processing all text-to-speech conversion directly on your machine without cloud dependencies.

What do I need to set up local text-to-speech generation on my machine?

Local text-to-speech generation requires downloading the sherpa-onnx runtime binaries and acquiring compatible voice model files to facilitate offline audio synthesis from text.

Does offline text-to-speech support different speaking styles?

Offline text-to-speech supports multiple voice models, allowing you to select various compatible voice files to achieve different speaking styles for your generated audio.

Is cloud-based TTS or local offline audio generation better for privacy?

Local offline audio generation is better for privacy because it eliminates cloud dependencies entirely, ensuring sensitive textual data is processed and converted into speech directly on your machine.

What are the limitations of using local TTS for audio generation?

Local TTS requires manual acquisition of sherpa-onnx runtime binaries and compatible voice model files, and offline operation means you must manage all voice model storage and updates locally.