Scene Characteristics
Home control has a <300ms latency requirement for voice feedback, which is difficult to meet with conventional cloud-based solutions.
Hybrid Architecture Solutions
- Localized Deployment
- Running a Lightweight TTS Engine with Docker Containers
- Preloaded voice clips of commonly used commands (about 50 basic commands)
- Enabling Edge Computing with the Raspberry Pi
- caching strategy
- Create a pool of LRU voice caches (recommended to keep the last 100)
- Use template stitching for dynamic content such as temperature/time
- Realize voice fingerprint de-duplication storage
- network optimization
- Configure QoS to guarantee priority transmission of voice packets
- Transmission of control commands using UDP protocol
- Setting up the local fallback server
Performance indicators
Tested to achieve: 97ms response for room temperature commands and 420ms return for the first vocabulary request.
This answer comes from the articleOpen source operational project integrating multiple advanced speech synthesis servicesThe
May not be reproduced without permission:AI productivity tools " How to achieve low latency response for speech synthesis in smart home scenarios?
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