feat: Add speech-to-text example and documentation

- Create comprehensive README for speech-to-text integration
- Implement example script demonstrating wake word detection and transcription
- Add Windows batch script for MCP server startup
- Include detailed usage instructions, customization options, and troubleshooting guide

extra/README.md

@@ -0,0 +1,91 @@
+# Speech-to-Text Examples
+
+This directory contains examples demonstrating how to use the speech-to-text integration with wake word detection.
+
+## Prerequisites
+
+1. Make sure you have Docker installed and running
+2. Build and start the services:
+   ```bash
+   docker-compose up -d
+   ```
+
+## Running the Example
+
+1. Install dependencies:
+   ```bash
+   npm install
+   ```
+
+2. Run the example:
+   ```bash
+   npm run example:speech
+   ```
+
+   Or using `ts-node` directly:
+   ```bash
+   npx ts-node examples/speech-to-text-example.ts
+   ```
+
+## Features Demonstrated
+
+1. **Wake Word Detection**
+   - Listens for wake words: "hey jarvis", "ok google", "alexa"
+   - Automatically saves audio when wake word is detected
+   - Transcribes the detected speech
+
+2. **Manual Transcription**
+   - Example of how to transcribe audio files manually
+   - Supports different models and configurations
+
+3. **Event Handling**
+   - Wake word detection events
+   - Transcription results
+   - Progress updates
+   - Error handling
+
+## Example Output
+
+When a wake word is detected, you'll see output like this:
+
+```
+🎤 Wake word detected!
+  Timestamp: 20240203_123456
+  Audio file: /path/to/audio/wake_word_20240203_123456.wav
+  Metadata file: /path/to/audio/wake_word_20240203_123456.wav.json
+
+📝 Transcription result:
+  Full text: This is what was said after the wake word.
+
+  Segments:
+    1. [0.00s - 1.52s] (95.5% confidence)
+       "This is what was said"
+    2. [1.52s - 2.34s] (98.2% confidence)
+       "after the wake word."
+```
+
+## Customization
+
+You can customize the behavior by:
+
+1. Changing the wake word models in `docker/speech/Dockerfile`
+2. Modifying transcription options in the example file
+3. Adding your own event handlers
+4. Implementing different audio processing logic
+
+## Troubleshooting
+
+1. **Docker Issues**
+   - Make sure Docker is running
+   - Check container logs: `docker-compose logs fast-whisper`
+   - Verify container is up: `docker ps`
+
+2. **Audio Issues**
+   - Check audio device permissions
+   - Verify audio file format (WAV files recommended)
+   - Check audio file permissions
+
+3. **Performance Issues**
+   - Try using a smaller model (tiny.en or base.en)
+   - Adjust beam size and patience parameters
+   - Consider using GPU acceleration if available