A sophisticated text-to-speech engine that intelligently handles mixed Vietnamese, Chinese, and English text with automatic Pinyin-to-Hanzi conversion.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-speak-vutran
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install smart-speak-vutran using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Smart-Speak is a specialized addition to the ecosystem of Openclaw Skills designed to bridge the gap in multilingual audio generation. It solves the common issue where TTS engines struggle with mixed-language inputs, particularly when Pinyin is embedded within Vietnamese or English text. By leveraging intelligent segmentation and native-quality neural voices, it ensures that each language block is pronounced with the correct accent and tone.
The core strength of this skill lies in its pre-processing logic. It automatically detects Pinyin phonetic markers and converts them into Hanzi (Chinese characters) before synthesis. This step is crucial because it allows the Chinese TTS engine to interpret the semantic meaning and tonal requirements accurately, resulting in a seamless and natural listening experience for the end-user.
To integrate this into your environment for Openclaw Skills, ensure you have the necessary dependencies installed:
# Install the edge-tts engine
pip install edge-tts
# Ensure ffmpeg is available for audio merging
sudo apt update && sudo apt install ffmpeg
# The skill script is located at:
# skills/public/smart-speak/scripts/smart_speak.py
Note: The script expects the edge-tts binary to be located at ~/.local/bin/edge-tts.
Smart-Speak organizes data using a structured segment approach to ensure high-fidelity merging.
| Attribute | Description |
|---|---|
text |
The processed string (Hanzi/English/Vietnamese) to be spoken. |
voice |
The specific Neural voice ID assigned to the segment. |
output |
Absolute path to the generated .mp3 file in the workspace. |
All segments must be passed as a properly escaped JSON string via the --segments-json flag.
vi-VN-HoaiMyNeural and zh-CN-XiaoxiaoNeural for human-like prosody.Loading
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