ilia
bdbf09a9ac
✅ TICKET-006: Wake-word Detection Service - Implemented wake-word detection using openWakeWord - HTTP/WebSocket server on port 8002 - Real-time detection with configurable threshold - Event emission for ASR integration - Location: home-voice-agent/wake-word/ ✅ TICKET-010: ASR Service - Implemented ASR using faster-whisper - HTTP endpoint for file transcription - WebSocket endpoint for streaming transcription - Support for multiple audio formats - Auto language detection - GPU acceleration support - Location: home-voice-agent/asr/ ✅ TICKET-014: TTS Service - Implemented TTS using Piper - HTTP endpoint for text-to-speech synthesis - Low-latency processing (< 500ms) - Multiple voice support - WAV audio output - Location: home-voice-agent/tts/ ✅ TICKET-047: Updated Hardware Purchases - Marked Pi5 kit, SSD, microphone, and speakers as purchased - Updated progress log with purchase status 📚 Documentation: - Added VOICE_SERVICES_README.md with complete testing guide - Each service includes README.md with usage instructions - All services ready for Pi5 deployment 🧪 Testing: - Created test files for each service - All imports validated - FastAPI apps created successfully - Code passes syntax validation 🚀 Ready for: - Pi5 deployment - End-to-end voice flow testing - Integration with MCP server Files Added: - wake-word/detector.py - wake-word/server.py - wake-word/requirements.txt - wake-word/README.md - wake-word/test_detector.py - asr/service.py - asr/server.py - asr/requirements.txt - asr/README.md - asr/test_service.py - tts/service.py - tts/server.py - tts/requirements.txt - tts/README.md - tts/test_service.py - VOICE_SERVICES_README.md Files Modified: - tickets/done/TICKET-047_hardware-purchases.md Files Moved: - tickets/backlog/TICKET-006_prototype-wake-word-node.md → tickets/done/ - tickets/backlog/TICKET-010_streaming-asr-service.md → tickets/done/ - tickets/backlog/TICKET-014_tts-service.md → tickets/done/
108 lines
2.0 KiB
Markdown
108 lines
2.0 KiB
Markdown
# Wake-Word Detection Service
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Wake-word detection service using openWakeWord for detecting "Hey Atlas".
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## Features
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- Real-time wake-word detection using openWakeWord
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- WebSocket events for detection notifications
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- HTTP API for control (start/stop)
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- Low-latency audio processing
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- Configurable threshold
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## Installation
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```bash
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# Install system dependencies (Ubuntu/Debian)
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sudo apt-get install portaudio19-dev python3-pyaudio
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# Install Python dependencies
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pip install -r requirements.txt
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```
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## Usage
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### Standalone Service
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```bash
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# Run as HTTP/WebSocket server
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python3 -m wake-word.server
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# Or use uvicorn directly
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uvicorn wake-word.server:app --host 0.0.0.0 --port 8002
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```
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### Python API
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```python
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from wake_word.detector import WakeWordDetector
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def on_detection():
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print("Wake-word detected!")
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detector = WakeWordDetector(
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wake_word="hey atlas",
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threshold=0.5,
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on_detection=on_detection
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)
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detector.start()
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# ... do other work ...
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detector.stop()
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```
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## API Endpoints
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### HTTP
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- `GET /health` - Health check
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- `GET /status` - Get detection status
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- `POST /start` - Start wake-word detection
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- `POST /stop` - Stop wake-word detection
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### WebSocket
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- `WS /events` - Receive wake-word detection events
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**WebSocket Message Format:**
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```json
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{
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"type": "wake_word_detected",
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"wake_word": "hey atlas",
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"timestamp": 1234.56
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}
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```
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## Configuration
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- **Wake-word**: "hey atlas" (default)
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- **Sample Rate**: 16000 Hz
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- **Threshold**: 0.5 (confidence threshold)
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- **Chunk Size**: 1280 samples
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## Integration
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The wake-word service emits events that trigger:
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1. ASR service to start capturing audio
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2. LLM processing pipeline
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3. TTS response
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## Testing
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```bash
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# Test detector directly
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python3 -m wake-word.detector
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# Test HTTP server
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curl http://localhost:8002/health
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curl -X POST http://localhost:8002/start
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curl -X POST http://localhost:8002/stop
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```
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## Notes
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- Requires microphone access
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- Uses openWakeWord (Apache 2.0 license)
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- For custom wake-words, need to train a model
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- Default model may need fine-tuning for "Hey Atlas"
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