lh-edge-tts

name

lh-edge-tts

description

Text-to-speech conversion using Python edge-tts for generating audio from text. Supports multiple voices, languages, speed adjustment, pitch control, and subtitle generation. Use when: (1) User requests audio/voice output with the "tts" trigger or keyword. (2) Content needs to be spoken rather than read (multitasking, accessibility, driving, cooking). (3) User wants a specific voice, speed, pitch, or format for TTS output.

Edge-TTS Skill

Overview

Generate high-quality text-to-speech audio using Microsoft Edge's neural TTS service via Python edge-tts. Supports multiple languages, voices, adjustable speed/pitch, and subtitle generation (SRT/VTT).

Quick Start

When you detect TTS intent from triggers or user request:

1. Call the tts tool (Clawdbot built-in) to convert text to speech
2. The tool returns a MEDIA: path
3. Clawdbot routes the audio to the current channel

Trigger Detection

Recognize "tts" keyword as TTS requests. The skill automatically filters out TTS-related keywords from text before conversion.

Advanced Customization

Using the Python Scripts

For more control, use the bundled scripts directly:

TTS Converter

cd scripts
python3 tts_converter.py "Your text" --voice en-US-AriaNeural --rate +10% -o output.mp3
python3 tts_converter.py -f input.txt --voice zh-CN-XiaoxiaoNeural -o output.mp3
python3 tts_converter.py -f input.txt -v zh-CN-YunxiNeural -r "+10%" -o output.mp3 -s output.vtt

Options:

• --voice, -v: Voice name (default: en-US-MichelleNeural)
• --lang, -l: Language code (e.g., en-US, zh-CN)
• --rate, -r: Rate adjustment (e.g., +10%, -20%)