🎙️ Vibevoice OpenClaw Plugin & Skill | ClawHub
Looking to integrate Vibevoice into your AI workflows? This free OpenClaw plugin from ClawHub helps you automate web & frontend development tasks instantly, without having to write custom tools from scratch.
What this skill does
Local Spanish TTS using Microsoft VibeVoice. Generate natural voice audio from text, optimized for WhatsApp voice messages.
Install
openclaw skills install @javier887/vibevoicenpx clawhub@latest install vibevoiceFull SKILL.md
Open original| name | description |
|---|---|
| vibevoice | Local Spanish TTS using Microsoft VibeVoice. Generate natural voice audio from text, optimized for WhatsApp voice messages. |
SKILL.md content below is scrollable.
VibeVoice TTS
Local text-to-speech using Microsoft's VibeVoice model. Generates natural Spanish voice audio, perfect for WhatsApp voice messages.
Quick Start
# Basic usage
{baseDir}/scripts/vv.sh "Hola, esto es una prueba" -o /tmp/audio.ogg
# From file
{baseDir}/scripts/vv.sh -f texto.txt -o /tmp/audio.ogg
# Different voice
{baseDir}/scripts/vv.sh "Texto" -v en-Wayne -o /tmp/audio.ogg
# Adjust speed (0.5-2.0)
{baseDir}/scripts/vv.sh "Texto" -s 1.2 -o /tmp/audio.ogg
Configuration
| Setting | Default | Description |
|---|---|---|
| Voice | sp-Spk1_man |
Spanish male voice (slight Mexican accent) |
| Speed | 1.15 |
15% faster than normal |
| Format | .ogg |
Opus codec for WhatsApp |
Available Voices
Spanish:
sp-Spk1_man- Male, slight Mexican accent (default)
English:
en-Wayne- Maleen-Denise- Female- Other voices in
~/VibeVoice/demo/voices/streaming_model/
Output Formats
.ogg- Opus codec (WhatsApp compatible, recommended).mp3- MP3 format.wav- Uncompressed WAV
For WhatsApp
Always use .ogg format with asVoice=true in the message tool:
# Generate
{baseDir}/scripts/vv.sh "Tu mensaje aquí" -o /tmp/mensaje.ogg
# Send via message tool
message action=send channel=whatsapp to="+34XXXXXXXXX" filePath=/tmp/mensaje.ogg asVoice=true
Requirements
- GPU: NVIDIA with ~2GB VRAM
- VibeVoice: Installed at
~/VibeVoice - ffmpeg: For audio conversion
- Python 3.10+: With torch, torchaudio
Performance
- RTF: ~0.24x (generates faster than realtime)
- 1 minute of audio ≈ 15 seconds to generate
Notes
- First run loads model (~10s), subsequent runs are faster
- Audio rule: Only send voice if user requests it or speaks via audio
- Keep text under 1500 chars for best quality