Speech-to-Speech LLM Agent
Developed a comprehensive Speech-to-Speech LLM Agent system at CLINKS Corporation. Independently managed the project from initial design to implementation as a PoC.
Overview
As an R&D Product Developer Intern at CLINKS Corporation, I independently developed a comprehensive Proof of Concept (PoC) for a Speech-to-Speech LLM Agent system. This project involved the entire development lifecycle from initial design to implementation. The system is designed to facilitate natural voice interactions with an AI agent, pushing the boundaries of conversational AI interfaces.
Key Features
Speech-to-Speech
Enables natural, real-time voice interaction with the AI agent without text input.
Independent Dev
Managed the entire project lifecycle independently, from initial design to final implementation.
PoC Success
Successfully delivered a working Proof of Concept that demonstrates the core capabilities.
Upcoming Release
The demo is scheduled for public release in December, showcasing the system's capabilities.
Technologies Used
Challenges Overcome
- Minimizing latency for real-time voice interaction
- Handling speech recognition errors and context maintenance
- Designing a robust architecture for the agent system
Outcomes & Impact
- Successfully developed a functional Speech-to-Speech agent PoC
- Demonstrated the viability of the proposed architecture
- Prepared for public demo release in December