sherpa-onnx-tts

Synthesize offline speech from text using sherpa-onnx runtimes and voice models.

Updated Jan 28, 2026
One-click install
npx skills add https://github.com/tamireslaeao-prog/ONI_V30 --skill sherpa-onnx-tts-tamireslaeao-prog
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sherpa-onnx-tts
Source: https://github.com/tamireslaeao-prog/ONI_V30/tree/main/moltbot-main/skills/sherpa-onnx-tts
Command: npx skills add https://github.com/tamireslaeao-prog/ONI_V30 --skill sherpa-onnx-tts-tamireslaeao-prog

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Local text-to-speech via sherpa-onnx (offline, no cloud)

Core Features & Use Cases

  • Local TTS: Offline text-to-speech synthesis using sherpa-onnx.
  • Cross-platform: Works on macOS, Linux, and Windows via prebuilt runtimes.
  • Model management: Download and manage voice models for varied voices.
  • Wrapper utility: Provides a simple wrapper to orchestrate runtime and model usage.

Quick Start

Run the sherpa-onnx-tts wrapper with your text input after downloading the runtime and a 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 run offline text-to-speech synthesis locally without a cloud connection?

Offline text-to-speech synthesis runs locally by using a wrapper to orchestrate prebuilt sherpa-onnx runtimes and downloaded voice models, generating speech on-device without cloud connectivity.

Does offline TTS via sherpa-onnx support cross-platform deployment on macOS, Linux, and Windows?

Yes, offline TTS via sherpa-onnx supports cross-platform deployment across macOS, Linux, and Windows by utilizing prebuilt runtimes to execute local voice models on each operating system.

How do I download and manage voice models for on-device TTS in embedded systems?

You download and manage voice models for on-device TTS by using the provided wrapper utility, which orchestrates model downloads and configures them for the sherpa-onnx runtime.

What is the best way to ensure privacy during local text-to-speech generation on desktop applications?

The best way to ensure privacy during local text-to-speech generation is using offline model execution via sherpa-onnx, which processes all voice synthesis entirely on-device without sending data externally.

Do I need an internet connection to use the sherpa-onnx wrapper for voice synthesis?

You do not need an internet connection for voice synthesis after the initial download, as the sherpa-onnx wrapper executes offline text-to-speech generation locally using prebuilt runtimes and stored models.

What are the limitations of using offline TTS models for on-device speech synthesis?

Limitations of offline TTS models include requiring local storage for voice models and manual runtime setup, as the wrapper depends entirely on prebuilt sherpa-onnx environments rather than cloud infrastructure.