# Vosk Model Setup Instructions

## Step 1: Download the Model

Download the small English model from Vosk:

**Direct Link:** https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.15.zip

**Size:** ~40 MB

## Step 2: Extract the Model

1. Extract `vosk-model-small-en-us-0.15.zip`
2. You should have a folder named `vosk-model-small-en-us-0.15`

## Step 3: Add to Android Project

1. Create the assets folder if it doesn't exist:
   ```bash
   mkdir -p ~/.openclaw/workspace/alfred-mobile/app/src/main/assets
   ```

2. Move the extracted model folder:
   ```bash
   mv ~/Downloads/vosk-model-small-en-us-0.15 ~/.openclaw/workspace/alfred-mobile/app/src/main/assets/
   ```

3. Verify the structure:
   ```
   app/src/main/assets/
   └── vosk-model-small-en-us-0.15/
       ├── am/
       ├── conf/
       ├── graph/
       ├── ivector/
       └── README
   ```

## Step 4: Rebuild the App

The model will be bundled with the APK. This increases the app size by ~40 MB but allows completely offline wake word detection.

## Alternative: Smaller Model

If 40 MB is too large, you can use an even smaller model:

**vosk-model-small-en-us-0.4** (~10 MB)
- Link: https://alphacephei.com/vosk/models/vosk-model-small-en-us-0.4.zip
- Less accurate but much smaller
- Update the folder name in `WakeWordManager.kt` to match

## Verification

Once the model is in place, the app will:
1. Automatically unpack it to internal storage on first run
2. Load it into memory
3. Start listening for "alfred", "hey alfred", or "ok alfred"

---

**Ready to download the model?** Let me know when it's in place and we'll continue with the UI integration!