Building Real-Time Voice AI Agents Using LLMs, ASR, and TTS with Sub-500ms Latency

🧠 Core Components

Our system is built around 5 key modules:

1. ASR (Automatic Speech Recognition)

   • We use Whisper or Deepgram to convert speech to text with high accuracy and stream support.

2. NLP + LLM Integration

   • GPT-4 or similar models (via OpenAI or local inference) handle intent recognition, reasoning, and response generation.

3. TTS (Text-to-Speech)

   • Voice synthesis using services like ElevenLabs or in-house TTS for human-like tone and intonation.

4. Telephony Bridge

   • Integration with Twilio/Plivo or SIP to connect real phone calls with our AI agents.

5. Real-time Streaming Engine

   • Built using WebSocket + event queues to manage <500ms round-trip latency.

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⚙️ Architecture Diagram