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Evaluate and Select Wake-Word Engine (#3)
# Ticket: Evaluate and Select Wake-Word Engine
## Ticket Information
- **ID**: TICKET-005
- **Title**: Evaluate and Select Wake-Word Engine
- **Type**: Research
- **Priority**: High
- **Status**: Backlog
- **Track**: Voice I/O
- **Milestone**: Milestone 1 - Survey & Architecture
- **Created**: 2024-01-XX
## Description
Evaluate wake-word detection options and select one:
- Compare openWakeWord and Porcupine for:
- Hardware compatibility (Linux box/Pi/NUC)
- Licensing requirements
- Ability to train custom "Hey Atlas" wake-word
- Performance and resource usage
- False positive/negative characteristics
## Acceptance Criteria
- [ ] Comparison matrix of wake-word options
- [ ] Selected engine documented with rationale
- [ ] Hardware requirements documented
- [ ] Licensing considerations documented
- [ ] Decision recorded in architecture docs
## Technical Details
Options to evaluate:
- openWakeWord (open source, trainable)
- Porcupine (Picovoice, commercial)
- Other open-source alternatives
Considerations:
- Custom wake-word training capability
- Resource usage on target hardware
- Latency requirements
- Integration complexity
## Dependencies
- TICKET-004 (architecture) - helpful but not required
- Hardware availability for testing
## Related Files
- `docs/WAKE_WORD_EVALUATION.md` (to be created)
- `ARCHITECTURE.md`
Reviewed-on: #3
2026-01-05 21:34:40 -05:00
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