✅ 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/
55 lines
1.2 KiB
Markdown
55 lines
1.2 KiB
Markdown
# Ticket: Long-Term Memory Design
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## Ticket Information
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- **ID**: TICKET-041
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- **Title**: Long-Term Memory Design
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- **Type**: Design
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- **Priority**: High
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- **Status**: Backlog
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- **Track**: Safety/Memory
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- **Milestone**: Milestone 3 - Memory, Reminders, Safety
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- **Created**: 2024-01-XX
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## Description
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Design long-term memory system:
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- Schema for personal memory (facts, preferences, routines)
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- Timestamps and confidence scores
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- Memory write policy (when agent can persist)
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- Retrieval strategy (light retrieval over structured store)
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## Acceptance Criteria
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- [ ] Memory schema designed
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- [ ] Data model documented
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- [ ] Write policy defined
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- [ ] Retrieval strategy documented
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- [ ] Integration points identified
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## Technical Details
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Memory schema:
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- Facts: names, preferences, routines
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- Metadata: timestamp, confidence, source
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- Categories: personal, family, preferences, routines
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Storage:
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- SQLite or lightweight DB
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- Indexed for fast retrieval
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- Backup strategy
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## Dependencies
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- TICKET-025 (system prompts) - for integration
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- TICKET-004 (architecture)
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## Related Files
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- `docs/MEMORY_DESIGN.md` (to be created)
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- `home-voice-agent/memory/` (to be created)
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## Notes
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Needs LLM prompting framework. Independent from ASR/TTS and client work.
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