jarvis-vocal#

Uses the authentic J.A.R.V.I.S. voice model from HuggingFace (trained on actual movie lines) via Piper TTS. No audio effects needed — the voice is naturally cinematic and British.

Credit: Voice model by jgkawell — see the discussion for details on training and samples.

Usage#

Generate a WAV file:

bash

{baseDir}/bin/jarvis-tts "Text to speak" ./output.wav

Stream directly to an Android device (if ADB connected):

bash

{baseDir}/bin/jarvis-tts "Text to speak" - | adb push - /sdcard/Download/temp.wav

Installation#

Prerequisites#

bash

pipx install piper-tts
sudo apt install ffmpeg  # or equivalent

Install Voice Model#

bash

# Create voice directory
mkdir -p ~/.local/share/piper/voices/en_GB

# Download models via HuggingFace CLI
cd ~/.local/share/piper/voices/en_GB
hf download jgkawell/jarvis en/en_GB/jarvis/high/jarvis-high.onnx --local-dir .
hf download jgkawell/jarvis en/en_GB/jarvis/high/jarvis-high.onnx.json --local-dir .
# Optional: medium quality model
hf download jgkawell/jarvis en/en_GB/jarvis/medium/jarvis-medium.onnx --local-dir .
hf download jgkawell/jarvis en/en_GB/jarvis/medium/jarvis-medium.onnx.json --local-dir .

Integration#

Works with OpenClaw Android nodes via ADB over Tailscale. Use jarvis-speak wrapper for one-command push+play:

bash

jarvis-speak "Systems at your service, Sir."

Or use streaming mode (faster, ephemeral):

bash

jarvis-speak "Message" --stream

Configuration#

SettingDefaultDescriptionModeljarvis-highVoice quality: high (114MB) or medium (63MB)Speed1.0 (native)Piper length-scale — adjust for faster/slower speechVolume1.0Post-processing volume boost

Edit jarvis-speak script to change defaults.

Troubleshooting#

"Model not found" → Download models to ~/.local/share/piper/voices/en_GB/jarvis-*

ADB connection refused → Ensure phone's ADB over WiFi is enabled and paired with laptop (port 5555)

Audio doesn't play → Check Android receives the file at /sdcard/Download/jarvis-current.wav and has a WAV-capable media player

License#

MIT — The voice model is MIT licensed by jgkawell.

Credits#

• Voice model: jgkawell/jarvis on HuggingFace — trained on Marvel movie lines
• TTS engine: Piper by Rhasspy
• Integration: OpenClaw by Aidan Park