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sherpa-onnx-tts

Generates offline text-to-speech audio from plain text using sherpa-onnx runtime and voice models.

5|Updated Jan 31, 2026
Search Tags:#cli#offline#text-to-speech#nodejs#audio-generation#voice-synthesis#sherpa-onnx
One-click install
npx skills add https://github.com/kcns008/clusterclaw --skill sherpa-onnx-tts-kcns008
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: sherpa-onnx-tts
Source: https://github.com/kcns008/clusterclaw/tree/main/skills/sherpa-onnx-tts
Command: npx skills add https://github.com/kcns008/clusterclaw --skill sherpa-onnx-tts-kcns008

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns written text into natural-sounding speech without relying on cloud services, making it ideal when privacy, offline operation, or predictable local execution matters.

Core Features & Use Cases

  • Offline TTS Generation: Produces audio locally using the sherpa-onnx runtime and a downloadable voice model.
  • Cross-Platform CLI Support: Works on macOS, Linux, and Windows with platform-specific runtime handling.
  • Flexible Model Configuration: Lets you override model, tokens, and data paths when your model package has custom files.
  • Use Case: Convert documentation, announcements, or accessibility content into WAV files for playback in automated workflows.

Quick Start

Ask the skill to synthesize the provided text into a WAV file using the local sherpa-onnx runtime and your chosen voice model.

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 from text offline?▼

You can generate offline text-to-speech audio by running a local sherpa-onnx runtime with a compatible voice model to synthesize plain text into WAV files, ensuring privacy and predictable local execution without cloud services.

Can I run text-to-speech voice synthesis locally on macOS, Linux, and Windows?▼

Yes, offline voice synthesis works on macOS, Linux, and Windows. The CLI handles platform-specific runtime execution, allowing you to generate speech locally on your preferred desktop or server environment.

Do I need to download a voice model for offline text-to-speech generation?▼

Yes, offline text-to-speech generation requires a downloadable voice model. You must configure the model files, token files, and data directories to enable deterministic CLI execution and accurate local speech synthesis.

What is the best way to convert documentation or announcements into audio files?▼

The best way to convert documentation into audio files is using a cross-platform CLI for batch audio generation. This offline approach turns plain text into WAV files for playback in automated narration workflows or accessibility output.

How do I override the default model and token paths for voice synthesis?▼

You can override default model and token paths during voice synthesis by specifying custom file locations in the CLI. This flexible model configuration accommodates model packages that use custom data directories and files.

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