AI voice assistant demo with <500ms response
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This project provides an exceptionally fast AI voice assistant, targeting users who need near real-time voice interaction. It leverages a combination of specialized AI models and efficient transport mechanisms to achieve response times under 500ms.
How It Works
The assistant utilizes a modular architecture for its core components: Deepgram for Speech-to-Text (STT), a Cerebras LLM for natural language understanding and response generation, and Cartesia for Text-to-Speech (TTS). Communication is handled via LiveKit transport, enabling low-latency, real-time audio streaming. This stack is optimized for speed and efficiency.
Quick Start & Requirements
pip install -r requirements.txt
.env
file from .env.example
and populating it with API keys.Highlighted Details
Maintenance & Community
No specific community channels or maintenance details are provided in the README.
Licensing & Compatibility
The README does not specify a license.
Limitations & Caveats
The project relies on third-party API keys (Deepgram, LiveKit) which may incur costs. The absence of a specified license raises questions about commercial use and redistribution.
8 months ago
1 day