The Problem

Modern applications require real-time, natural communication interfaces, but face challenges such as:

  • Lack of seamless voice interaction systems
  • High latency in real-time conversational AI
  • Limited support for multi-modal interaction (voice + text)
  • Difficulty in scaling real-time communication systems
  • Poor user experience due to disconnected STT–LLM–TTS pipelines

There is a need for a low-latency, scalable, and interactive voice-enabled chatbot system.

Our Solution

We developed a real-time Voice-to-Voice Chatbot using LiveKit that:

  • Enables natural voice conversations with AI
  • Supports text input as fallback or alternative
  • Uses low-latency streaming for real-time responses
  • Integrates STT → LLM → TTS into a seamless pipeline

The system provides a human-like conversational experience across both voice and text interfaces.

Solution Architecture

Deliverables

  • Real-time Voice-to-Voice Chatbot Prototype
  • Multi-modal Interaction (Voice + Text)
  • Low-latency Streaming Pipeline
  • Integrated STT–LLM–TTS Workflow

Tech Stack

  • LiveKit framework
  • LLM: llama3.2 model using ollama
  • STT: deepgram/nova-3
  • TTS: cartesia/sonic-3

Business Impact

  • Natural, human-like conversations
  • Real-time responses with minimal latency
  • Seamless switching between voice and text
  • Suitable for customer support, assistants, and bots
  • Reduces response time significantly

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