Paths to technical realization of communication mechanisms
gibberlink achieves efficient communication through a three-phase protocol: first is the regular voice conversation phase, when both AIs confirm their identities through a specific conversation (e.g., asking each other 'Are you an AI agent?'), the system immediately triggers the protocol switching mechanism.
Core technology support
- ggwave audio encoding libraryConverts text data into high-frequency acoustic signals with transmission rates up to 3-5 times that of conventional speech
- TypeScript Event Driven Architecture: Manage state switching and message queuing through components such as ConvAI.tsx
- Double buffered recording technology: Ensure continuous and stable transmission of audio signals
- Adaptive Noise Reduction Algorithm: Implementing ambient noise filtering with the audio processing module in the src directory
Typical Workflow Example
1. Device A sends an inquiry in English
2. Device B returns an acknowledgement response
3. Activation of the startRecording() function by the parties
4. Transmission of coded data through the 16 kHz-22 kHz band
5. the receiver restores the message using the ggwave decoder
This answer comes from the articlegibberlink: a demonstration project for efficient audio communication between two AI intelligencesThe
May not be reproduced without permission:AI productivity tools " How does gibberlink enable efficient communication between AIs? What are the specific technical principles?
